An online monitoring system for pipe jacking machine construction based on the Internet of Things

Abstract

The present invention discloses an online monitoring system for pipe jacking machine construction based on the Internet of Things, which relates to the technical field of pipe jacking machine construction devices, including: an Internet of Things sensor, which is used to collect environmental parameters and state parameters of the pipe jacking machine; a data acquisition module, which is used to connect the Internet of Things sensor, obtain and transmit environmental parameters and state parameters in real time; a data processing module, which is used to receive and pre-process environmental parameters and state parameters, and calculate comprehensive monitoring indicators; a monitoring module, which is used to monitor comprehensive monitoring indicators in real time, establish a threshold dynamic adjustment mechanism, calculate relative deviations, generate alarm signals, and alarm; a communication module, which is used to realize wireless transmission of data based on the Internet of Things technology. By generating construction monitoring indicators and optimizing control of influencing factors, the monitoring efficiency, decision accuracy, construction safety and reliability are significantly improved, the probability of equipment failure and environmental risks is reduced, and the overall construction efficiency and quality are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pipe jacking machine construction devices, and in particular to an online monitoring system for pipe jacking machine construction based on the Internet of Things. Background Art

[0002] As a trenchless underground pipeline laying method, pipe jacking construction technology has been widely used in urban infrastructure construction, especially in the construction of oil, electricity, drainage and other pipelines in densely populated urban areas, which has the advantage of avoiding large-scale ground excavation. Traditional pipe jacking construction relies on the operator's manual operation of the equipment and parameter monitoring, but with the development of science and technology, the monitoring technology of the construction site is also constantly improving.

[0003] In the prior art, the operating status and environmental parameters of the pipe jacking machine are usually monitored by various sensors installed on the equipment, such as the thrust, mud pressure, mud flow and other important parameters of the pipe jacking machine. However, these monitoring methods usually operate independently, and the monitored data needs to be read and analyzed regularly by on-site personnel, and manually adjusted based on these data. Although this monitoring method can meet most construction needs, it has the following problems in complex construction environments or remote construction processes:

[0004] The centralized data processing capability is limited: Existing monitoring equipment is often scattered at key locations on the construction site. Although some key parameters can be collected, these data lack a unified analysis and processing system. Operators need to read data from each device regularly, which makes it impossible to achieve centralized and real-time monitoring of the entire construction process.

[0005] Insufficient remote monitoring and automation: Since pipe jacking construction is usually carried out underground, the construction site conditions are complex and operators need to debug equipment and adjust parameters on site, which places higher demands on construction safety and efficiency. Although sensors in existing technologies can monitor some construction parameters in real time, they lack remote control and automated processing capabilities, resulting in slow response speed in emergencies.

[0006] Limitations of the early warning system: Although the monitoring system in the existing technology can collect and display some equipment parameters, it usually does not have comprehensive data analysis and intelligent early warning functions. When the construction parameters are abnormal, the operator needs to manually judge and take measures, which may delay the best time to deal with the problem. Summary of the invention

[0007] Based on the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide an online monitoring system for pipe jacking machine construction based on the Internet of Things to solve the above-mentioned technical problems.

[0008] To achieve the above object, the present invention provides the following technical solution: an online monitoring system for pipe jacking machine construction based on the Internet of Things, comprising:

[0009] IoT sensors are used to collect environmental parameters and status parameters of the pipe jacking machine;

[0010] A data acquisition module, used to connect to the IoT sensor to acquire and transmit the environmental parameters and the state parameters in real time;

[0011] A data processing module, used for receiving and preprocessing the environmental parameters and the state parameters, and calculating comprehensive monitoring indicators according to the preprocessed environmental parameters and the state parameters, wherein the comprehensive monitoring indicators include cutting energy consumption coefficient, mud kinetic energy coefficient, mechanical stress concentration coefficient and formation disturbance coefficient;

[0012] A monitoring module is used to monitor the comprehensive monitoring indicators in real time, establish a threshold dynamic adjustment mechanism, calculate the relative deviation according to the dynamic threshold, generate an alarm signal when the relative deviation is greater than the deviation threshold, issue an alarm, and visualize the real-time data and historical trends of the comprehensive monitoring indicators;

[0013] The communication module is used to realize wireless data transmission based on the Internet of Things technology.

[0014] The present invention is further configured such that the Internet of Things sensors include load sensors, torque sensors, pressure sensors, soil moisture sensors, density sensors and flow sensors; the environmental parameters include excavation surface soil pressure, soil hardness, soil moisture content, mud density, mud flow, mud pressure and surface settlement; the state parameters include hydraulic pressure, propulsion force, propulsion speed, cutting head torque, cutting head speed, motor current, vibration acceleration and equipment inclination.

[0015] The present invention is further configured to calculate a comprehensive monitoring index according to the environmental parameter and the state parameter, including:

[0016] Calculating a cutting energy consumption coefficient according to the propulsion force, propulsion speed, cutting head torque, cutting head rotation speed, excavation surface soil pressure and soil moisture content;

[0017] Calculate the mud kinetic energy coefficient based on mud density, mud flow and mud pressure;

[0018] Calculate mechanical stress concentration factors based on hydraulic pressure, motor current, vibration acceleration and equipment inclination;

[0019] The ground disturbance coefficient is calculated based on the surface settlement, equipment inclination, propulsion force and soil moisture content.

[0020] The present invention is further configured to calculate a cutting energy consumption coefficient according to the propulsion force, propulsion speed, cutting head torque, cutting head rotation speed, excavation surface soil pressure and soil moisture content, and the calculation logic of the cutting energy consumption coefficient is: ,in, is the cutting energy consumption coefficient, For propulsion, To promote speed, is the cutting head torque, is the cutting head speed, is the soil pressure on the excavation surface, is the soil moisture content.

[0021] The present invention is further configured to calculate the mud kinetic energy coefficient according to the mud density, the mud flow rate and the mud pressure. The calculation logic of the mud kinetic energy coefficient is: ,in, is the mud kinetic energy coefficient, is the mud density, is the mud flow rate, is the mud pressure.

[0022] The present invention is further configured to calculate the mechanical stress concentration factor according to the hydraulic pressure, the motor current, the vibration acceleration and the equipment inclination angle, and the calculation logic of the mechanical stress concentration factor is: ,in, is the mechanical stress concentration factor, is the hydraulic pressure, is the motor current, is the vibration acceleration, is the device inclination angle.

[0023] The present invention is further configured to calculate the formation disturbance coefficient according to the surface settlement, the equipment inclination, the propulsion force and the soil moisture content, and the calculation logic of the formation disturbance coefficient is: ,in, is the formation disturbance coefficient, Surface subsidence, is the device inclination angle, For propulsion, is the soil moisture content.

[0024] The present invention is further configured to monitor the comprehensive monitoring index in real time, establish a threshold dynamic adjustment mechanism, calculate the relative deviation according to the dynamic threshold, generate an alarm signal when the relative deviation is greater than the deviation threshold, and issue an alarm, including:

[0025] Set the initial threshold intervals for comprehensive monitoring indicators based on historical data;

[0026] Calculate the environmental impact factor and the equipment status impact factor according to the environmental parameter and the status parameter;

[0027] Dynamically adjusting the initial threshold interval according to the environmental impact factor and the device state impact factor to generate a dynamic threshold interval;

[0028] The relative deviation is calculated based on the comprehensive monitoring indicators and the corresponding dynamic threshold interval. When the relative deviation is greater than the deviation threshold, an alarm signal is generated and an alarm is issued.

[0029] The present invention is further configured such that the calculation logic of the environmental impact factor is: ,in, is the environmental impact factor, is the soil hardness, is the base soil hardness, is the soil moisture content, is the base soil moisture content, is the equipment inclination angle;

[0030] The calculation logic of the device status influencing factor is: ,in, is the equipment status influencing factor, is the hydraulic pressure, is the base hydraulic pressure, is the cutting head torque, is the reference cutting head torque, is the motor current, is the reference motor current.

[0031] The present invention is further configured to dynamically adjust the initial threshold interval according to the environmental impact factor and the equipment state impact factor; calculate the relative deviation according to the comprehensive monitoring index and the corresponding dynamic threshold interval, and generate an alarm signal when the relative deviation is greater than the deviation threshold, and alarm, including:

[0032] The environmental impact factor and the equipment status impact factor are added to power to obtain a comprehensive impact factor;

[0033] Multiplying the initial threshold interval by the comprehensive impact factor to obtain a dynamic threshold interval;

[0034] When the comprehensive monitoring indicator is outside the dynamic threshold range, calculating the relative deviation;

[0035] When the relative deviation is greater than a first deviation threshold and less than or equal to a second deviation threshold, a first alarm signal is generated to give an alarm;

[0036] When the relative deviation is greater than a second deviation threshold, a second alarm signal is generated, an alarm is given and the pipe jacking machine is shut down.

[0037] The present invention provides an online monitoring system for pipe jacking machine construction based on the Internet of Things, comprising: an Internet of Things sensor, used for collecting environmental parameters and state parameters of the pipe jacking machine; a data acquisition module, used for connecting the Internet of Things sensor, acquiring and transmitting the environmental parameters and the state parameters in real time; a data processing module, used for receiving and preprocessing the environmental parameters and the state parameters, and calculating comprehensive monitoring indicators according to the preprocessed environmental parameters and the state parameters, wherein the comprehensive monitoring indicators include cutting energy consumption coefficient, mud kinetic energy coefficient, mechanical stress concentration coefficient and formation disturbance coefficient; a monitoring module, used for real-time monitoring of the comprehensive monitoring indicators, establishing a threshold dynamic adjustment mechanism, calculating relative deviations according to dynamic thresholds, generating an alarm signal when the relative deviation is greater than the deviation threshold, giving an alarm, and visually displaying real-time data and historical trends of the comprehensive monitoring indicators; a communication module, used for realizing wireless transmission of data based on the Internet of Things technology, and the beneficial effects produced include:

[0038] Improved real-time and comprehensiveness: The present invention adopts multiple IoT sensors and data acquisition modules, which can monitor in real time various parameters involved in the construction process of the pipe jacking machine, including the operating status of the equipment and environmental parameters, and transmit them to the server in real time through the IoT terminal, thus ensuring the real-time monitoring and comprehensiveness of the data, realizing centralized management and real-time feedback of the data, and significantly improving the monitoring efficiency;

[0039] Intelligent data processing and early warning mechanism: The present invention introduces an intelligent data processing module that can automatically analyze and process the collected construction parameters and generate comprehensive construction monitoring indicators. When the monitoring data exceeds the preset deviation threshold, the system will automatically send out an alarm signal to remind the operator to take necessary measures. This intelligent early warning mechanism greatly reduces the potential safety hazards caused by equipment failure or construction anomalies, avoids the lag of relying on manual judgment, and improves construction safety;

[0040] Improved decision-making accuracy: The present invention generates construction monitoring indicators by comprehensively calculating and analyzing basic parameters, which can accurately reflect the overall operating status of the pipe jacking machine. It can not only evaluate the current working status of the equipment in real time, but also predict potential risks in advance, thereby optimizing construction decisions and improving construction efficiency and safety.

[0041] Dynamic calculation and optimization control of influencing factors: The present invention can help construction personnel identify abnormal situations by dynamically calculating and real-time monitoring influencing factors, and optimize and adjust construction parameters according to different influencing factors to ensure construction safety and quality stability. Through precise control of influencing factors, the present invention significantly reduces the probability of equipment failure and environmental risks during construction, and improves construction efficiency and reliability.

[0042] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0044] Figure 1 A schematic structural diagram of an online monitoring system for pipe jacking machine construction based on the Internet of Things is shown as an exemplary embodiment of the present invention;

[0045] Figure 2 The present invention is a logical flow chart of a data processing module of an online monitoring system for pipe jacking machine construction based on the Internet of Things, showing an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following will describe the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention, not for limiting the scope of protection of the present invention.

[0047] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0048] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0049] An online monitoring system for pipe jacking machine construction based on the Internet of Things, such as Figure 1 As shown, including:

[0050] IoT sensors are used to collect environmental parameters and status parameters of the pipe jacking machine;

[0051] A data acquisition module, used to connect to the IoT sensor to acquire and transmit the environmental parameters and the state parameters in real time;

[0052] A data processing module, used for receiving and preprocessing the environmental parameters and the state parameters, and calculating comprehensive monitoring indicators according to the preprocessed environmental parameters and the state parameters, wherein the comprehensive monitoring indicators include cutting energy consumption coefficient, mud kinetic energy coefficient, mechanical stress concentration coefficient and formation disturbance coefficient;

[0053] A monitoring module is used to monitor the comprehensive monitoring indicators in real time, establish a threshold dynamic adjustment mechanism, calculate the relative deviation according to the dynamic threshold, generate an alarm signal when the relative deviation is greater than the deviation threshold, issue an alarm, and visualize the real-time data and historical trends of the comprehensive monitoring indicators;

[0054] The communication module is used to realize wireless data transmission based on the Internet of Things technology.

[0055] Specifically, an online monitoring system for pipe jacking machine construction based on the Internet of Things is composed of an Internet of Things sensor, a data acquisition module, a data processing module, a monitoring module and a communication module. Its basic workflow is as follows: First, the Internet of Things sensor is responsible for collecting the state parameters of the pipe jacking machine during the construction process and the environmental parameters in the construction environment; then, the data acquisition module transmits these data to the data processing module in real time for analysis; the data processing module calculates a series of comprehensive monitoring indicators; next, the monitoring module performs real-time monitoring based on these indicators, and sets dynamic thresholds to determine whether to issue an alarm signal; finally, the communication module is responsible for realizing the wireless transmission of these data to ensure seamless connection and data transmission between the construction site and the remote control center; the Internet of Things sensor is one of the core components of the present invention, installed at the construction site, and is mainly used to collect environmental parameters and equipment status parameters related to the construction process of the pipe jacking machine.

[0056] The present invention is further configured such that the Internet of Things sensors include load sensors, torque sensors, pressure sensors, soil moisture sensors, density sensors and flow sensors; the environmental parameters include excavation surface soil pressure, soil hardness, soil moisture content, mud density, mud flow, mud pressure and surface settlement; the state parameters include hydraulic pressure, propulsion force, propulsion speed, cutting head torque, cutting head speed, motor current, vibration acceleration and equipment inclination. Specifically, load sensors are used to measure the load conditions that the equipment is borne when working, including the external forces that the pipe jacking machine is borne during the advancement and cutting process; torque sensors are used to measure the torque of the cutting head of the pipe jacking machine, that is, the rotational torque applied to the cutter disc during the cutting process; pressure sensors are used to measure the pressure of the mud or the pressure in the hydraulic system; soil moisture sensors are used to measure the soil moisture content at the excavation face; density sensors are used to detect the density of the mud or the density of the soil; flow sensors are used to monitor the flow of the mud to ensure the stable operation of the mud system; the excavation face soil pressure refers to the pressure between the cutter disc and the soil in front during the excavation process of the pipe jacking machine; soil hardness reflects the hardness of the soil, which directly affects the cutting difficulty and advancement speed of the pipe jacking machine; soil moisture content, that is, the proportion of water in the soil, affects the plasticity and cutting difficulty of the soil; mud density affects the stability and fluidity of the mud, and the main function of the mud is to maintain the opening The pressure balance of the excavation surface lubricates the cutting head and takes away the cut soil; mud flow refers to the amount of mud transported per unit time; mud pressure refers to the hydraulic pressure in the mud system, which affects the transportation and flow of mud; surface settlement refers to the surface subsidence phenomenon caused by soil disturbance or support failure during pipe jacking construction; hydraulic pressure is the working pressure of the hydraulic system during the advancement and cutting of the pipe jacking machine; the propulsion force is the force generated during the advancement of the pipe jacking machine, usually provided by the hydraulic system; the propulsion speed refers to the advancement speed of the pipe jacking machine; the cutting head torque is the rotational torque generated by the pipe jacking machine during the soil cutting process; the cutting head speed refers to the rotation speed of the cutting head; the motor current refers to the working current of the equipment motor, reflecting the working state and load condition of the motor; the vibration acceleration reflects the vibration intensity generated by the equipment during operation; the equipment inclination angle refers to the inclination angle of the pipe jacking machine relative to the horizontal plane during operation.

[0057] like Figure 2 As shown, the present invention is further configured to calculate the comprehensive monitoring index according to the environmental parameters and the state parameters, including:

[0058] The cutting energy consumption coefficient is calculated according to the propulsion force, propulsion speed, cutting head torque, cutting head rotation speed, excavation surface soil pressure and soil moisture content; the present invention is further configured to calculate the cutting energy consumption coefficient according to the propulsion force, propulsion speed, cutting head torque, cutting head rotation speed, excavation surface soil pressure and soil moisture content, and the calculation logic of the cutting energy consumption coefficient is: ,in, is the cutting energy consumption coefficient, For propulsion, To promote speed, is the cutting head torque, is the cutting head speed, is the soil pressure on the excavation surface, is the soil moisture content. Specifically, the cutting energy coefficient (CEI) is calculated through the above calculation logic to evaluate the energy consumption and efficiency of the pipe jacking machine when cutting soil. This coefficient is based on the interaction of multiple key parameters, including thrust, propulsion speed, cutting head torque, cutting head speed, and soil conditions (such as excavation surface soil pressure and soil moisture content). These parameters reflect the working performance and energy consumption of the pipe jacking machine under different geological conditions. Through the dynamic calculation of this coefficient, construction personnel can judge the working efficiency and energy consumption level of the equipment in real time, and adjust the parameters according to different geological conditions to ensure the stability and efficiency of the construction.

[0059] The mud kinetic energy coefficient is calculated according to the mud density, mud flow rate and mud pressure; the present invention is further configured to calculate the mud kinetic energy coefficient according to the mud density, mud flow rate and mud pressure, and the calculation logic of the mud kinetic energy coefficient is: ,in, is the mud kinetic energy coefficient, is the mud density, is the mud flow rate, is the mud pressure; specifically, the mud kinetic energy coefficient (MKC) is calculated through the above calculation logic, which is used to evaluate the kinetic energy state of the mud system during the construction of the pipe jacking machine. By comprehensively considering factors such as the density, flow rate and pressure of the mud, the formula quantifies the kinetic energy of the mud during the pipe jacking construction process. This kinetic energy reflects the flow performance of the mud and its supporting role in the construction. The fluidity of the mud is crucial to the construction efficiency of the pipe jacking machine, the cooling and lubrication during the cutting process, and the pressure balance of the excavation surface.

[0060] The mechanical stress concentration factor is calculated according to the hydraulic pressure, the motor current, the vibration acceleration and the equipment inclination angle; the present invention is further configured to calculate the mechanical stress concentration factor according to the hydraulic pressure, the motor current, the vibration acceleration and the equipment inclination angle, and the calculation logic of the mechanical stress concentration factor is: ,in, is the mechanical stress concentration factor, is the hydraulic pressure, is the motor current, is the vibration acceleration, is the inclination angle of the equipment. Specifically, the mechanical stress concentration factor (MSC) is calculated through the above calculation logic to measure the degree of stress concentration of the construction equipment during operation. Stress concentration reflects whether the stress borne by certain parts of the mechanical structure of the equipment is evenly distributed when the equipment is subjected to various forces (such as hydraulic pressure, motor current, vibration acceleration, etc.). If the stress concentration is too large, the equipment is prone to damage or failure. Therefore, by calculating MSC, the degree of stress concentration of the equipment under different working conditions can be evaluated, thereby optimizing the construction parameters and preventing equipment overload or excessive local stress.

[0061] The formation disturbance coefficient is calculated according to the surface settlement, the equipment inclination, the propulsion force and the soil moisture content; the present invention is further configured to calculate the formation disturbance coefficient according to the surface settlement, the equipment inclination, the propulsion force and the soil moisture content, and the calculation logic of the formation disturbance coefficient is: ,in, is the formation disturbance coefficient, Surface subsidence, is the device inclination angle, For propulsion, is the soil moisture content. Specifically, the ground disturbance coefficient (GDI) is calculated through the above calculation logic to evaluate the degree of disturbance of the surrounding soil layers by the equipment during the construction of the pipe jacking machine. The ground disturbance reflects the impact of the pipe jacking machine on the geological environment during its advancement, especially the disturbance of the surrounding soil layers. During construction, the stability of the soil layer directly affects the construction safety, surface settlement, and the safety of surrounding facilities. By calculating GDI, the degree of disturbance of the soil layer by the equipment during operation can be quantified, and construction adjustments can be made based on this coefficient to ensure geological stability during the construction process.

[0062] The present invention is further configured to monitor the comprehensive monitoring index in real time, establish a threshold dynamic adjustment mechanism, calculate the relative deviation according to the dynamic threshold, generate an alarm signal when the relative deviation is greater than the deviation threshold, and issue an alarm, including:

[0063] The initial threshold interval of the comprehensive monitoring indicators is set according to the historical data; specifically, the operating range, average value and extreme value (including maximum and minimum values) of each monitoring indicator are extracted using the historical operating data of the pipe jacking machine. According to different construction conditions (such as different soil layer types, construction depths, etc.), the data is classified and sorted to obtain the parameter values ​​under various typical conditions; the historical data is statistically analyzed to calculate the average value (μ) and standard deviation (σ) of each indicator, and based on this, a reasonable threshold range is calculated. Specifically, the initial threshold interval can be set as: lower threshold: μ- 2σ, upper threshold: μ+ 2σ.

[0064] The environmental impact factor and the equipment status impact factor are calculated according to the environmental parameters and the status parameters; the present invention is further configured such that the calculation logic of the environmental impact factor is: ,in, is the environmental impact factor, is the soil hardness, is the base soil hardness, is the soil moisture content, is the base soil moisture content, is the equipment inclination angle; the calculation logic of the equipment status influencing factor is: ,in, is the equipment status influencing factor, is the hydraulic pressure, is the base hydraulic pressure, is the cutting head torque, is the reference cutting head torque, is the motor current, is the reference motor current. Specifically, the above calculation logic is used to calculate the environmental impact factor and equipment status influencing factors These two factors are key parameters to measure the impact of the environment and equipment on the overall work during the construction process. Environmental Impact Factors The main considerations are the impact of soil properties and equipment inclination on the construction process, while the equipment status factor The focus is on the working status of the equipment itself, including parameters such as the hydraulic system and motor current. By calculating these two factors, the status of the equipment and environment during the construction process can be dynamically evaluated so that the construction parameters can be adjusted in time to ensure the safety and efficiency of the construction.

[0065] Dynamically adjusting the initial threshold interval according to the environmental impact factor and the device state impact factor to generate a dynamic threshold interval;

[0066] The relative deviation is calculated based on the comprehensive monitoring indicators and the corresponding dynamic threshold interval. When the relative deviation is greater than the deviation threshold, an alarm signal is generated and an alarm is issued.

[0067] The present invention is further configured to dynamically adjust the initial threshold interval according to the environmental impact factor and the equipment state impact factor; calculate the relative deviation according to the comprehensive monitoring index and the corresponding dynamic threshold interval, and generate an alarm signal when the relative deviation is greater than the deviation threshold, and alarm, including:

[0068] The environmental impact factor and the equipment status impact factor are added to powers to obtain a comprehensive impact factor; specifically, power addition: this refers to weighting the environmental impact factor and the equipment status impact factor to powers with different weights to comprehensively reflect the overall impact of the environment and the equipment. The power can be adjusted based on historical data or engineering experience, and no specific restrictions are made here.

[0069] Multiplying the initial threshold interval by the comprehensive impact factor to obtain a dynamic threshold interval;

[0070] When the comprehensive monitoring indicator is outside the dynamic threshold range, the relative deviation is calculated; specifically, the relative deviation is calculated by dividing the deviation by the dynamic threshold to obtain the relative deviation; the larger the relative deviation, the more serious the deviation of the equipment or environmental parameters from the normal operating state, and the greater the potential risk.

[0071] When the relative deviation is greater than the first deviation threshold and less than or equal to the second deviation threshold, a first alarm signal is generated and an alarm is issued; when the relative deviation is greater than the first deviation threshold (usually a smaller threshold, indicating a slight abnormality) but less than or equal to the second deviation threshold, the system will issue a first-level alarm signal to remind the operator to check and adjust.

[0072] When the relative deviation is greater than the second deviation threshold, a second alarm signal is generated, an alarm is sounded, and the pipe jacking machine is shut down. When the relative deviation exceeds the second deviation threshold (usually indicating a serious abnormality), the system will not only sound an alarm, but will also automatically perform an emergency shutdown operation to protect the equipment and prevent failures or safety accidents. By dynamically adjusting the threshold interval of the monitoring index based on comprehensive influencing factors, the monitoring accuracy can be automatically optimized according to the real-time environment and equipment status, avoiding false alarms or missed alarms caused by fixed thresholds, and improving the adaptability of the system; through the calculation of relative deviations, the gap between the equipment status and the ideal operating conditions can be accurately quantified, and graded alarms can be issued to ensure that operators can respond to abnormal situations of different levels in a timely manner and improve construction safety; in serious abnormal situations, the system can automatically generate a shutdown signal to prevent major safety hazards caused by equipment overload or environmental changes, thereby extending the service life of the equipment and reducing construction accidents.

[0073] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0074] It should be understood that the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. A and B can be singular or plural. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship, but it may also indicate an "and / or" relationship. Please refer to the context for specific understanding.

[0075] In this application, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b, or c can be represented by: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0076] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0077] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0078] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0079] In the several embodiments provided in the present application, it should be understood that the disclosed system can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0080] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0081] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0082] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0083] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An online monitoring system for pipe jacking machine construction based on the Internet of Things, characterized in that: include: IoT sensors are used to collect environmental parameters and status parameters of the pipe jacking machine; the IoT sensors include load sensors, torque sensors, pressure sensors, soil moisture sensors, density sensors and flow sensors; the environmental parameters include excavation surface soil pressure, soil hardness, soil moisture content, mud density, mud flow, mud pressure and surface settlement; the status parameters include hydraulic pressure, propulsion force, propulsion speed, cutting head torque, cutting head speed, motor current, vibration acceleration and equipment inclination; A data acquisition module, used to connect to the IoT sensor to acquire and transmit the environmental parameters and the state parameters in real time; A data processing module is used to receive and pre-process the environmental parameters and the state parameters, and calculate the comprehensive monitoring index according to the pre-processed environmental parameters and the state parameters, wherein the comprehensive monitoring index includes a cutting energy consumption coefficient, a mud kinetic energy coefficient, a mechanical stress concentration coefficient and a formation disturbance coefficient; the comprehensive monitoring index is calculated according to the environmental parameters and the state parameters, including: calculating the cutting energy consumption coefficient according to the propulsion force, propulsion speed, cutting head torque, cutting head rotation speed, excavation surface soil pressure and soil moisture content; calculating the mud kinetic energy coefficient according to the mud density, mud flow and mud pressure; calculating the mechanical stress concentration coefficient according to the hydraulic pressure, motor current, vibration acceleration and equipment inclination angle; calculating the formation disturbance coefficient according to the surface settlement, equipment inclination angle, propulsion force and soil moisture content; The monitoring module is used to monitor the comprehensive monitoring indicators in real time, establish a threshold dynamic adjustment mechanism, calculate the relative deviation according to the dynamic threshold, generate an alarm signal when the relative deviation is greater than the deviation threshold, issue an alarm, and visualize the real-time data and historical trends of the comprehensive monitoring indicators, including: setting the initial threshold interval of the comprehensive monitoring indicators according to historical data; calculating the environmental impact factor and the equipment status impact factor according to the environmental parameters and the status parameters, wherein the calculation logic of the environmental impact factor is: ,in, is the environmental impact factor, is the soil hardness, is the base soil hardness, is the soil moisture content, is the base soil moisture content, is the equipment inclination angle; the calculation logic of the equipment status influencing factor is: ,in, is the equipment status influencing factor, is the hydraulic pressure, is the base hydraulic pressure, is the cutting head torque, is the reference cutting head torque, is the motor current, The invention relates to a reference motor current; dynamically adjusting the initial threshold interval according to the environmental impact factor and the equipment state impact factor to generate a dynamic threshold interval; calculating the relative deviation according to the comprehensive monitoring index and the corresponding dynamic threshold interval, and generating an alarm signal when the relative deviation is greater than the deviation threshold, and performing an alarm, including: performing power addition of the environmental impact factor and the equipment state impact factor to obtain a comprehensive impact factor; multiplying the initial threshold interval by the comprehensive impact factor to obtain a dynamic threshold interval; calculating the relative deviation when the comprehensive monitoring index is outside the dynamic threshold interval; generating a first alarm signal when the relative deviation is greater than the first deviation threshold and less than or equal to the second deviation threshold, and performing an alarm; generating a second alarm signal when the relative deviation is greater than the second deviation threshold, and performing an alarm and stopping the pipe jacking machine; The communication module is used to realize wireless data transmission based on the Internet of Things technology.

2. According to the online monitoring system for pipe jacking machine construction based on the Internet of Things according to claim 1, it is characterized in that: The cutting energy consumption coefficient is calculated according to the propulsion force, propulsion speed, cutting head torque, cutting head rotation speed, excavation surface soil pressure and soil moisture content. The calculation logic of the cutting energy consumption coefficient is: ,in, is the cutting energy consumption coefficient, For propulsion, To promote speed, is the cutting head torque, is the cutting head speed, is the soil pressure on the excavation surface, is the soil moisture content.

3. According to the online monitoring system for pipe jacking machine construction based on the Internet of Things in claim 1, it is characterized in that: The mud kinetic energy coefficient is calculated according to the mud density, mud flow rate and mud pressure. The calculation logic of the mud kinetic energy coefficient is: ,in, is the mud kinetic energy coefficient, is the mud density, is the mud flow rate, is the mud pressure.

4. According to the online monitoring system for pipe jacking machine construction based on the Internet of Things according to claim 1, it is characterized in that: The mechanical stress concentration factor is calculated according to the hydraulic pressure, motor current, vibration acceleration and equipment inclination angle. The calculation logic of the mechanical stress concentration factor is: ,in, is the mechanical stress concentration factor, is the hydraulic pressure, is the motor current, is the vibration acceleration, is the device inclination angle.

5. According to the online monitoring system for pipe jacking machine construction based on the Internet of Things in claim 1, it is characterized in that: The ground disturbance coefficient is calculated according to the surface settlement, equipment inclination, propulsion force and soil moisture content. The calculation logic of the ground disturbance coefficient is: ,in, is the formation disturbance coefficient, Surface subsidence, is the device inclination angle, For propulsion, is the soil moisture content.

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