A foundation pit settlement environment-friendly construction method, device, equipment and storage medium

Abstract

The application provides a foundation pit settlement environment-friendly construction method, device, equipment and storage medium. The construction method sets an intelligent sensing module along the foundation pit; a BIM model is established according to data, prediction is performed through the BIM model, and real-time comparison is performed with actual data; when the actual data deviates from the BIM model simulation data, the foundation pit is compensated and adjusted. Compared with traditional monitoring, the application collects data in the construction process in real time through real-time monitoring, and transmits the data to a computer system, compares the data with the data of the BIM model in real time, compensates the on-site construction according to the deviation difference when the deviation occurs, the construction and compensation process can be performed at the same time, and real-time monitoring is performed, the hysteresis of the monitoring data is reduced, the accuracy of the data is improved, the danger is eliminated in the continuous construction process through real-time dynamic compensation, and then the safety in the construction process is improved, and the high-density monitoring field replaces manual inspection to reduce the cost.

Description

Technical Field

[0001] This application relates to the field of ultra-large and ultra-deep foundation pit construction, and in particular to an environmentally friendly construction method, device, equipment and storage medium for foundation pit settlement. Background Technology

[0002] In the field of safety control for deep foundation pit engineering, traditional monitoring methods face three major technical bottlenecks:

[0003] Significant data lag

[0004] Conventional monitoring relies on manual inspections (typically data collected every 2-4 hours), leading to a disconnect between settlement data and construction progress. For example, when the stress in the support structure exceeds the limit, the average time from data collection to taking reinforcement measures is >6 hours (data from a project in Shanghai), which cannot stop the continuous development of deformation.

[0005] Limitations of Discrete Point Monitoring

[0006] Existing technologies employ single-point sensor deployment (e.g., inclinometer spacing ≥ 20m), making it difficult to construct a continuous deformation field. When localized hazards such as piping occur in the strata, the missed detection rate of discrete monitoring points is as high as 35% (according to statistics from the Chinese Journal of Geotechnical Engineering), and it is impossible to accurately locate the source of the risk.

[0007] Passive response mode defects

[0008] Traditional methods employ a segmented process of "monitoring-stopping-reinforcement":

[0009] Settlement detected - Excavation stopped - Cause analyzed - Solution developed - Construction resumed

[0010] This process results in an average delay of 48 hours in handling a single emergency, while frequent start-ups and shutdowns of construction machinery increase energy consumption by more than 40%. Summary of the Invention

[0011] This application provides an environmentally friendly construction method, apparatus, equipment, and storage medium for foundation pit settlement, to solve at least one problem existing in related technologies. The technical solution is as follows:

[0012] This application provides an environmentally friendly construction method for foundation pit settlement, including:

[0013] Intelligent sensing modules were installed along the foundation pit;

[0014] A BIM model is built based on the data, predictions are made using the BIM model, and the model is compared with the actual data in real time.

[0015] When there is a discrepancy between the actual data and the BIM model simulation data, the foundation pit is compensated and adjusted.

[0016] In one implementation,

[0017] The intelligent sensing device includes:

[0018] Set up a ring-shaped redundant monitoring network: deploy static level instruments every 10m along the perimeter of the foundation pit, and embed fiber optic grating sensors with an accuracy of ±0.1mm at the nodes of the supporting structure to form a dual-loop data verification mechanism.

[0019] A ground deformation monitoring module was installed, with an array of tiltmeters with a range of ±15° and a resolution of 0.001° set 5m from the outer edge of the foundation pit, in conjunction with a distributed fiber optic sensor with a spatial resolution of 1m at a depth of 20m underground.

[0020] In one implementation,

[0021] The process of building a BIM model based on data, making predictions using the BIM model, and comparing it with actual data in real time includes:

[0022] Multi-source data fusion algorithm: compares monitoring data with geological BIM model in real time to establish a three-dimensional displacement field inversion model;

[0023] Dynamic early warning mechanism: When the real-time settlement value exceeds the BIM predicted value by 5mm, a three-level early warning and adaptive control strategy are triggered.

[0024] In one implementation,

[0025] The compensation and adjustment of the foundation pit when there is a deviation between the actual data and the BIM model simulation data includes:

[0026] Equipped with a pressure feedback grouting machine, grouting is performed based on the difference between the formation loss coefficient and the measured and BIM simulation data;

[0027] A support axial force compensator is installed to automatically compensate for the pressure to ±5% of the design value when the support deformation reaches 2mm.

[0028] In one implementation, it further includes:

[0029] Install variable frequency hydraulic drive on the excavation equipment, with an adjustable frequency of 30-50Hz, and combine it with pre-cut vibration damping joints with a depth ≥3m and a spacing ≤5D;

[0030] A two-stage hydrocyclone separator is installed to separate particles >50μm, combined with a plate and frame filter press to achieve a moisture content ≤40%.

[0031] In one implementation,

[0032] The ring-shaped redundant monitoring network includes:

[0033] Surface deformation detection is achieved by setting up a ring-shaped static level array and a laser scanner to capture the settlement at the edge of the foundation pit in real time, forming a closed verification loop. Data anomalies automatically trigger a review mechanism.

[0034] Support structure monitoring involves installing fiber optic grating sensors at the mid-span or end of the support beam and on the main reinforcement of the retaining piles to monitor concrete stress and steel strain, and identify abnormal points of axial force in the support.

[0035] In one implementation,

[0036] The aforementioned formation deformation monitoring module includes:

[0037] For ground response monitoring, a distributed fiber optic sensor and tilt sensor array are set up to construct a three-dimensional displacement field of the soil, invert the ground loss rate in real time, provide early warning of piping risk, and trigger an alarm when the temperature change is greater than 2℃.

[0038] Secondly, embodiments of this application provide an environmentally friendly construction device for foundation pit settlement, comprising:

[0039] The intelligent sensing module is used to collect data in real time during the foundation pit construction process;

[0040] The data comparison module simulates the initial data based on BIM and compares the construction data collected by the intelligent sensing module with the simulation data generated by BIM in real time.

[0041] The compensation and adjustment module compensates for and adjusts the actual construction when there is an error between the BIM simulation data and the actual data.

[0042] Thirdly, embodiments of this application provide an electronic device, including: a processor and a memory, wherein the memory stores instructions that are loaded and executed by the processor to implement the methods in any of the above-described embodiments.

[0043] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed, implements the methods in any of the above-described embodiments.

[0044] The beneficial effects of the above technical solution include at least the following:

[0045] Compared to traditional monitoring, this application uses real-time monitoring to collect data during the construction process and transmit it to a computer system. The data is then compared with the BIM model data in real time. When deviations occur, compensation is made to the on-site construction based on the difference in deviations. Construction and supplementation processes can be carried out simultaneously and monitored in real time, reducing the lag of monitoring data and improving data accuracy. Through real-time dynamic compensation, potential hazards can be eliminated during continuous construction, thereby improving the safety of the construction process. The high-density monitoring field replaces manual inspections, reducing costs.

[0046] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of this application will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description

[0047] In the accompanying drawings, unless otherwise specified, the same reference numerals throughout the various drawings denote the same or similar parts or elements. These drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments disclosed in this application and should not be construed as limiting the scope of this application.

[0048] Figure 1 This is a schematic diagram of the steps of an embodiment of the environmentally friendly construction method for foundation pit settlement according to this application;

[0049] Figure 2 This is a structural block diagram of an environmentally friendly construction device for foundation pit settlement according to an embodiment of this application;

[0050] Figure 3 This is a structural block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0051] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of this application. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0052] Reference Figure 1 The flowchart illustrates an embodiment of an environmentally friendly construction method for foundation pit settlement according to this application. The construction method may include at least steps S100-S400:

[0053] S100, Intelligent sensing modules are installed along the foundation pit.

[0054] S200. Build a BIM model based on the data, make predictions using the BIM model, and compare it with the actual data in real time.

[0055] S300. When there is a deviation between the actual data and the BIM model simulation data, the foundation pit shall be compensated and adjusted.

[0056] The technical solution of this application embodiment is to set up an intelligent sensing module along the foundation pit, collect various data of the foundation pit in real time during the construction process, and build a BIM model based on the foundation pit data. When the formal construction is carried out, the simulation is performed in advance through the BIM model. During the construction process, the data collected by the intelligent sensing module is compared with the data of the BIM model in real time, and the parameters in the construction process are adjusted and compensated in real time according to the comparison results.

[0057] Compared to traditional monitoring, this application uses real-time monitoring to collect data during the construction process and transmit it to a computer system. The data is then compared with the BIM model data in real time. When deviations occur, compensation is made to the on-site construction based on the difference in deviations. Construction and supplementation processes can be carried out simultaneously and monitored in real time, reducing the lag of monitoring data and improving data accuracy. Through real-time dynamic compensation, potential hazards can be eliminated during continuous construction, thereby improving the safety of the construction process. The high-density monitoring field replaces manual inspections, reducing costs.

[0058] In one implementation, step S100 includes steps S110-S120:

[0059] S110. Set up a ring-shaped redundant monitoring network: Install static level instruments every 10m along the perimeter of the foundation pit, and embed fiber optic grating sensors with an accuracy of ±0.1mm at the nodes of the supporting structure to form a dual-loop data verification mechanism.

[0060] S120. Set up a ground deformation monitoring module. Set up an array of tiltmeters with a range of ±15° and a resolution of 0.001° at 5m outside the foundation pit, in conjunction with a distributed fiber optic sensor with a spatial resolution of 1m at a depth of 20m underground.

[0061] Step S110 includes steps S111-S112:

[0062] S111, Surface deformation detection: By setting up a ring-shaped static level array and a laser scanner, the settlement at the edge of the foundation pit is captured in real time, forming a closed verification loop. Data anomalies automatically trigger a review mechanism.

[0063] S112. Support structure monitoring: By installing fiber optic grating sensors at the mid-span or end of the support beam and on the main reinforcement of the retaining pile, concrete stress and steel strain are monitored, and abnormal points of support axial force are identified.

[0064] In this embodiment, a static level is used to capture the settlement of the foundation pit edge in real time. A closed verification loop is formed by setting up a level every 10m along the perimeter of the foundation pit, and the data is transmitted to the system for comparison with the BIM model. When the data is abnormal, a verification mechanism is automatically triggered. The verification mechanism uses a laser scanner (scanning frequency 10Hz) to scan the pit. After the scan is completed, the generated data is transmitted to the system for comparison with the BIM model, and the foundation pit is compensated according to the actual situation.

[0065] The fiber optic sensors have a wavelength resolution of 1 pm and are installed at the mid-span or end of the support beam and on the main reinforcement of the retaining piles. The vertical spacing of the fiber optic sensors is 2 m. They monitor concrete stress (range 0-30 MPa), steel strain (accuracy ±5 με), identify abnormal points of axial force in the support, and transmit the collected data to the system for comparison with the BIM model. The foundation pit is then compensated according to the actual situation.

[0066] In one implementation, step S200 includes steps S210-S220:

[0067] S210, Multi-source data fusion algorithm: compares monitoring data with geological BIM model in real time to establish a three-dimensional displacement field inversion model.

[0068] S220, Dynamic Early Warning Mechanism: When the real-time settlement value exceeds the BIM predicted value by 5mm, a three-level early warning and adaptive control strategy is triggered.

[0069] The monitoring data is compared with the geological BIM model in real time to establish a three-dimensional displacement field inversion model.

[0070] The comparison between the monitoring data and the geological BIM model includes a database of parameters such as soil elastic modulus and permeability coefficient.

[0071] The three-level alarm can be set to yellow-orange-red according to actual needs. Under normal circumstances, it is yellow. When the alarm turns orange, compensation actions are required and the monitoring frequency is further increased. When the alarm turns red, it is recommended that irrelevant personnel evacuate and compensation is performed. After supplementing the monitoring for a period of time, construction can continue after the data shows no abnormalities.

[0072] Step S220 includes step S221:

[0073] S221. Ground response monitoring: Set up distributed fiber optic sensors and tilt sensor arrays to construct a three-dimensional displacement field of the soil, invert the ground loss rate in real time, provide early warning of piping risk, and trigger an alarm when the temperature change is greater than 2℃.

[0074] In this embodiment, a distributed optical fiber sensor (DTS, temperature measurement accuracy 0.1℃) and a tilt sensor array (range ±30°, resolution 0.005°) are set, with a burial depth range of 0-50m.

[0075] In one implementation, step S300 includes steps S310-S320:

[0076] The S310 is equipped with a pressure feedback grouting machine, which performs grouting based on the difference between the formation loss coefficient and the measured and BIM simulation data.

[0077] S320. Install a support axial force compensator to automatically compensate for the pressure to ±5% of the design value when the support deformation reaches 2mm.

[0078] In this embodiment, the pressure feedback grouting machine (adjustable working pressure 0.5-5MPa) dynamically adjusts the grouting volume according to the formula ΔQ=K·(S_measured - S_theoretical) (K is the formation loss coefficient, S_measured - S_theoretical is the difference between the formation loss coefficient and the measured and BIM simulation data, ΔQ is the required grouting volume, and when ΔQ is negative, the formation needs to be reduced).

[0079] In one embodiment, the method further includes steps S410-S420:

[0080] S410. Install variable frequency hydraulic drive on the excavation equipment, with an adjustable frequency of 30-50Hz, combined with pre-cut vibration damping joints with a depth ≥3m and a spacing ≤5D.

[0081] S420, equipped with a two-stage hydrocyclone separator, separating particle size >50μm, combined with a plate and frame filter press, moisture content ≤40%.

[0082] In this embodiment of the application, the vibration control system is as follows: the excavation equipment is equipped with a variable frequency hydraulic drive (frequency adjustable from 30 to 50 Hz), combined with pre-cut vibration damping joints (depth ≥ 3m, spacing ≤ 5D, where D is the pile diameter).

[0083] Mud circulation system: A two-stage hydrocyclone separator (separation particle size > 50 μm) + plate and frame filter press (moisture content ≤ 40%) is set up to achieve a drilling cuttings resource utilization rate of ≥ 85%.

[0084] Reference Figure 2 The diagram shows a structural block diagram of an environmentally friendly construction device 200 for foundation pit settlement according to an embodiment of this application. The device may include:

[0085] The intelligent sensing module is used to collect data in real time during the foundation pit construction process;

[0086] The data comparison module simulates the initial data based on BIM and compares the construction data collected by the intelligent sensing module with the simulation data generated by BIM in real time.

[0087] The compensation and adjustment module compensates for and adjusts the actual construction when there is an error between the BIM simulation data and the actual data.

[0088] In this embodiment, the edge settlement of the foundation pit, abnormal points of support axial force, and strain of the reinforcing steel are monitored through the intelligent sensing module. At the same time, the data comparison module compares the data with the simulated data of the BIM model and compensates for the difference. When the difference is positive, grouting is required; when the difference is negative, corresponding adjustments are required to ensure that the actual data is close to the simulated data of the BIM model, with the difference range being ±5mm.

[0089] The functions of each module in the device of this application embodiment can be found in the corresponding description in the above method, and will not be repeated here.

[0090] Reference Figure 3 The diagram illustrates a structural block diagram of an electronic device according to an embodiment of this application. The electronic device includes a memory 310 and a processor 320. The memory 310 stores instructions that can be executed on the processor 320. The processor 320 loads and executes these instructions to implement the methods described in the above embodiments. The number of memories 310 and processors 320 can be one or more.

[0091] In one embodiment, the electronic device further includes a communication interface 330 for communicating with external devices and exchanging data. If the memory 310, processor 320, and communication interface 330 are implemented independently, they can be interconnected via a bus to communicate with each other. This bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0092] Optionally, in a specific implementation, if the memory 310, processor 320 and communication interface 330 are integrated on a single chip, the memory 310, processor 320 and communication interface 330 can communicate with each other through an internal interface.

[0093] This application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the methods provided in the above embodiments.

[0094] This application also provides a chip, which includes a processor for calling and executing instructions stored in a memory, causing a communication device on which the chip is installed to perform the method provided in this application.

[0095] This application also provides a chip, including: an input interface, an output interface, a processor, and a memory. The input interface, output interface, processor, and memory are connected through an internal connection path. The processor is used to execute code in the memory. When the code is executed, the processor is used to execute the method provided in the application embodiment.

[0096] It should be understood that the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. General-purpose processors can be microprocessors or any conventional processor. It is worth noting that the processor can be a processor supporting the Advanced Reduced Instruction Set Computing (RISC) machine (ARM) architecture.

[0097] Further, optionally, the aforementioned memory may include read-only memory and random access memory, and may also include non-volatile random access memory. The memory may be volatile or non-volatile, or may include both. Non-volatile memory may include read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory may include random access memory (RAM), which serves as an external cache. Many forms of RAM are available by way of example, but not limitation. Examples include static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (SLDRAM), and direct rambus RAM (DR RAM).

[0098] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to this application is generated. 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 transferred from one computer-readable storage medium to another.

[0099] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "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. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of those different embodiments or examples.

[0100] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "a plurality of" means two or more, unless otherwise explicitly specified.

[0101] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process. Furthermore, the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functionality involved.

[0102] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus or device (such as a computer-based system, a processor-included system or other system that can fetch and execute instructions from, an instruction execution system, apparatus or device).

[0103] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. All or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware, the program being stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiments.

[0104] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. This storage medium can be a read-only memory, a disk, or an optical disk, etc.

[0105] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in this application, and these should all be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. An environmentally friendly construction method for foundation pit settlement, characterized in that, include: Intelligent sensing modules were installed along the foundation pit; A BIM model is built based on the data, predictions are made using the BIM model, and the model is compared with the actual data in real time. When there is a discrepancy between the actual data and the BIM model simulation data, the foundation pit is compensated and adjusted.

2. The construction method according to claim 1, characterized in that, The intelligent sensing device includes: Set up a ring-shaped redundant monitoring network: deploy static level instruments every 10m along the perimeter of the foundation pit, and embed fiber optic grating sensors with an accuracy of ±0.1mm at the nodes of the supporting structure to form a dual-loop data verification mechanism. A ground deformation monitoring module was installed, with an array of tiltmeters with a range of ±15° and a resolution of 0.001° set 5m from the outer edge of the foundation pit, in conjunction with a distributed fiber optic sensor with a spatial resolution of 1m at a depth of 20m underground.

3. The construction method according to claim 1, characterized in that, The process of building a BIM model based on data, making predictions using the BIM model, and comparing it with actual data in real time includes: Multi-source data fusion algorithm: compares monitoring data with geological BIM model in real time to establish a three-dimensional displacement field inversion model; Dynamic early warning mechanism: When the real-time settlement value exceeds the BIM predicted value by 5mm, a three-level early warning and adaptive control strategy is triggered.

4. The construction method according to claim 1, characterized in that, The compensation and adjustment of the foundation pit when there is a deviation between the actual data and the BIM model simulation data includes: Equipped with a pressure feedback grouting machine, grouting is performed based on the difference between the formation loss coefficient and the measured and BIM simulation data; A support axial force compensator is installed to automatically compensate for the pressure to ±5% of the design value when the support deformation reaches 2mm.

5. The construction method according to claim 1, characterized in that, Also includes: Install variable frequency hydraulic drive on the excavation equipment with an adjustable frequency of 30-50Hz, combined with pre-cut vibration damping joints with a depth ≥3m and a spacing ≤5D; A two-stage hydrocyclone separator is installed to separate particles >50μm, combined with a plate and frame filter press to achieve a moisture content ≤40%.

6. The construction method according to claim 2, characterized in that, The ring-shaped redundant monitoring network includes: Surface deformation detection is achieved by setting up a ring-shaped static level array and a laser scanner to capture the settlement at the edge of the foundation pit in real time, forming a closed verification loop. Data anomalies automatically trigger a review mechanism. Support structure monitoring involves installing fiber optic grating sensors at the mid-span or end of the support beam and on the main reinforcement of the retaining piles to monitor concrete stress and steel strain, and identify abnormal points of axial force in the support.

7. The construction method according to claim 2, characterized in that, The aforementioned formation deformation monitoring module includes: For ground response monitoring, a distributed fiber optic sensor and tilt sensor array are set up to construct a three-dimensional displacement field of the soil, invert the ground loss rate in real time, provide early warning of piping risk, and trigger an alarm when the temperature change is greater than 2℃.

8. An environmentally friendly construction device for foundation pit settlement, characterized in that, include: The intelligent sensing module is used to collect data in real time during the foundation pit construction process; The data comparison module simulates the initial data based on BIM and compares the construction data collected by the intelligent sensing module with the simulation data generated by BIM in real time. The compensation and adjustment module compensates for and adjusts the actual construction when there is an error between the BIM simulation data and the actual data.

9. An electronic device, characterized in that, include: A processor and a memory, wherein instructions are stored in the memory and loaded and executed by the processor to implement the method as claimed in any one of claims 1-7.

10. A computer-readable storage medium storing a computer program therein, which, when executed, implements the method as described in any one of claims 1-7.

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