1. A health diagnosis device for roadbed service performance is characterized by comprising:

the loading device is used for applying load to the road;

the data acquisition device is used for acquiring stress and vertical displacement generated on the road surface when a load is applied to the road;

the data analysis device is used for carrying out frequency spectrum analysis on the vertical displacement signal to obtain the propagation speed of the rayleigh wave of the pavement layer and the thickness of the pavement layer and obtain the elastic modulus of the pavement layer according to the propagation speed; inputting the stress, the vertical displacement, the elastic modulus of the road surface layer and the thickness of the road surface layer into a trained roadbed soil modulus calculation model to obtain the elastic modulus of the roadbed soil; and obtaining a dynamic deformation value of the roadbed under the standard load according to the elastic modulus of the roadbed layer, the elastic modulus of the roadbed soil body and the thickness of the pavement layer, and evaluating the health state of the roadbed according to the dynamic deformation value of the roadbed under the standard load.

2. The apparatus for diagnosing the service performance of a roadbed as claimed in claim 1, wherein the loading device comprises a test vehicle and a drop hammer and a buffer steel disc which are arranged on the test vehicle and can freely fall, and the drop hammer freely falls on the buffer steel disc.

3. The device for diagnosing the service performance of the roadbed of claim 2, wherein the buffering steel disc is connected with the test vehicle through a telescopic drop hammer guide rod, and the drop hammer falls on the buffering steel disc freely along the drop hammer guide rod.

4. The device for diagnosing the service performance of the roadbed of claim 2, wherein the data acquisition device comprises a position sensor which is arranged on the test vehicle and can fall and retract and a stress sensor which is arranged on a buffer steel disc.

5. The device for diagnosing the service performance of the roadbed of claim 1, wherein the dynamic deformation value of the roadbed under the standard load is compared with the allowable dynamic deformation value of the roadbed top surface to evaluate the health state of the roadbed.

6. The apparatus according to claim 1, wherein the training samples are constructed according to the elastic modulus of the road surface layer, the elastic modulus of the soil body of the roadbed, the thickness of the road surface layer, the stress generated by the road surface and the vertical displacement of the road surface of the sample road, and the calculation model of the soil body of the roadbed is trained to obtain the trained calculation model of the soil body modulus of the roadbed.

7. The device for health diagnosis of roadbed service performance as claimed in claim 6, wherein the vertical displacement of the road surface in the training sample is obtained by inputting the stress generated by the road surface into the double-layer unsaturated porous elastic medium model.

8. A health diagnosis method for roadbed service performance is characterized by comprising the following steps:

collecting stress and vertical displacement generated on a road surface when a load is applied to the road;

carrying out spectrum analysis on the vertical displacement signal to obtain the propagation speed of the rayleigh wave of the pavement layer and the thickness of the pavement layer;

obtaining the elastic modulus of the road surface layer according to the propagation speed;

inputting the stress, the vertical displacement, the elastic modulus of the road surface layer and the thickness of the road surface layer into a trained roadbed soil modulus calculation model to obtain the elastic modulus of the roadbed soil;

obtaining a dynamic deformation value of the roadbed under a standard load according to the elastic modulus of the roadbed layer, the elastic modulus of the roadbed soil body and the thickness of the pavement layer;

and evaluating the health state of the roadbed according to the dynamic deformation value of the roadbed under the standard load.

9. An electronic device comprising a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the steps of the method of claim 8.

10. A computer readable storage medium storing computer instructions which, when executed by a processor, perform the steps of the method of claim 8.

Background

The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.

The roadbed is one of the most important components of a road structure and determines the long-term service performance of the road. Under the influence of natural factors such as rainfall, evaporation, temperature fluctuation and the like and under the action of increasing traffic load, the performance of the roadbed can be gradually deteriorated, so that the settlement and the cracking of a pavement structure are caused, and finally the pavement structure fails. In the past, the repair was often initiated after the pavement structure had been damaged, such as by cracking. If the weak road section can be diagnosed in time at the early stage of roadbed degradation, and then reinforcement treatment such as grouting is carried out, the failure of the road structure and the damage of the road surface structure can be effectively avoided.

At present, methods such as a drilling coring method, a Beckman beam method, a drop hammer deflectometer and the like are commonly used for evaluating road performance, but the existing methods have some defects. Although the performance change of road structures at different layers can be detected by drilling and coring, the detection is destructive, the road is damaged, the efficiency is low, the cost is high, and the sample is inevitably disturbed in the sampling process.

The Beckman beam method needs a standard truck with 4 wheels on two sides of a double shaft and a rear shaft, and a pavement deflectometer consisting of the Beckman beam, a dial indicator and a meter frame is used for testing the rebound deflection of the roadbed and the pavement. This method requires a standard vehicle to measure the rebound deflection while traveling at a slower speed, and the modulus of resilience of the road is obtained by dividing the load on the rear axle of the standard vehicle by the deflection value. The static rebound modulus of the road is actually obtained, the dynamic performance of the roadbed cannot be reflected, a large error is possibly generated when the deflection value is manually read through a dial indicator, and more people are required to test the deflection value at the same time. After the road is constructed, the rebound modulus value measured by the Beckman beam method is the integral performance of the road, including the road surface and the roadbed, and the health condition of the roadbed cannot be reflected independently.

The drop hammer type deflectometer can excite the road surface by a drop hammer free falling body, and simultaneously record the hammering impact force and the displacement of a hammering part, thereby calculating the resilience modulus of the road and continuously collecting the deflection data of the road. The test method usually needs vehicle-mounted and is high in manufacturing cost, and the measured rebound modulus is the modulus of the whole structure of the road and cannot independently reflect the health state of the roadbed.

The Beckman beam method test obtains the rebound value of the road surface when the standard axle load vehicle load leaves, and the falling weight deflectometer test obtains the maximum deformation value of the road surface under the impact load. When the dynamic resilience modulus of the road is inverted through the acquired data, the two methods are both based on the theoretical solution of the uniform elasticity half space under the action of static load. In practice, however, roads are typically layered structures, the properties of the road surface and the roadbed are very different, and the roadbed is also compacted in layers when being filled. On the other hand, the subgrade soil body is usually in an unsaturated state, which is a state that a solid-liquid-gas three phase exists simultaneously, and the existence of liquid and gas has great influence on the mechanical property of the soil body. The elastic half-space model completely ignores the heterogeneity of the soil medium, and inevitable errors can be generated during the calculation and inversion.

Therefore, the inventor thinks that the existing road performance evaluation methods can not carry out nondestructive and rapid health detection on the road subgrade.

Disclosure of Invention

In order to solve the problems, the disclosure provides a health diagnosis device and method for roadbed service performance, and realizes rapid nondestructive detection of the health state of a road roadbed.

In order to achieve the purpose, the following technical scheme is adopted in the disclosure:

in a first aspect, a health diagnosis apparatus for service performance of a roadbed is provided, which includes:

the loading device is used for applying load to the road;

the data acquisition device is used for acquiring stress and vertical displacement generated on the road surface when a load is applied to the road;

the data analysis device is used for carrying out frequency spectrum analysis on the vertical displacement signal to obtain the propagation speed of the rayleigh wave of the pavement layer and the thickness of the pavement layer and obtain the elastic modulus of the pavement layer according to the propagation speed; inputting the stress, the vertical displacement, the elastic modulus of the road surface layer and the thickness of the road surface layer into a trained roadbed soil modulus calculation model to obtain the elastic modulus of the roadbed soil; and obtaining a dynamic deformation value of the roadbed under the standard load according to the elastic modulus of the roadbed layer, the elastic modulus of the roadbed soil body and the thickness of the pavement layer, and evaluating the health state of the roadbed according to the dynamic deformation value of the roadbed under the standard load.

In a second aspect, a health diagnosis method for service performance of a roadbed is provided, which comprises the following steps:

collecting stress and vertical displacement generated on a road surface when a load is applied to the road;

carrying out spectrum analysis on the vertical displacement signal to obtain the propagation speed of the rayleigh wave of the pavement layer and the thickness of the pavement layer;

obtaining the elastic modulus of the road surface layer according to the propagation speed;

inputting the stress, the vertical displacement, the elastic modulus of the road surface layer and the thickness of the road surface layer into a trained roadbed soil modulus calculation model to obtain the elastic modulus of the roadbed soil;

obtaining a dynamic deformation value of the roadbed under a standard load according to the elastic modulus of the roadbed layer, the elastic modulus of the roadbed soil body and the thickness of the pavement layer;

and evaluating the health state of the roadbed according to the dynamic deformation value of the roadbed under the standard load.

In a third aspect, an electronic device is provided, which includes a memory, a processor, and computer instructions stored in the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the steps of the method for health diagnosis of service performance of a road.

In a fourth aspect, a computer-readable storage medium is provided for storing computer instructions, which when executed by a processor, perform the steps of a method for health diagnosis of service performance of a roadbed.

Compared with the prior art, the beneficial effect of this disclosure is:

1. according to the method, the load is applied to the road, the stress and the vertical displacement generated by the road surface when the load is applied are collected, the dynamic deformation value of the roadbed under the standard load is obtained through analyzing the stress and the vertical displacement, the health state of the roadbed is diagnosed according to the dynamic deformation value of the roadbed under the standard load, and the rapid nondestructive detection of the health state of the roadbed is realized.

Advantages of additional aspects of the invention 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 the invention.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.

FIG. 1 is a schematic view of the overall structure of the device disclosed in embodiment 1 of the present disclosure;

FIG. 2 is a schematic diagram of a testing process of the device disclosed in embodiment 1 of the present disclosure during road testing;

fig. 3 is a schematic diagram of a model of a two-layer unsaturated porous elastic medium disclosed in example 1 of the present disclosure.

Wherein: 1. the device comprises a test vehicle, 2, a road surface, 3, a roadbed, 4, a displacement sensor, 5, a synchronous lead, 6, a drop hammer guide rod, 7, a drop hammer, 8, a buffer steel disc, 9 and a data analysis device.

The specific implementation mode is as follows:

the present disclosure is further described with reference to the following drawings and examples.

It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.

In the present disclosure, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only relational terms determined for convenience in describing structural relationships of the parts or elements of the present disclosure, and do not refer to any parts or elements of the present disclosure, and are not to be construed as limiting the present disclosure.

In the present disclosure, terms such as "fixedly connected", "connected", and the like are to be understood in a broad sense, and mean either a fixed connection or an integrally connected or detachable connection; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present disclosure can be determined on a case-by-case basis by persons skilled in the relevant art or technicians, and are not to be construed as limitations of the present disclosure.

Example 1

In order to realize the fast nondestructive detection of the health state of the roadbed, the embodiment discloses a health diagnosis device for the service performance of the roadbed, which comprises:

the loading device is used for applying load to the road;

the data acquisition device is used for acquiring stress and vertical displacement generated on the road surface when a load is applied to the road;

the data analysis device is used for carrying out frequency spectrum analysis on the vertical displacement signal to obtain the propagation speed of the rayleigh wave of the pavement layer and the thickness of the pavement layer and obtain the elastic modulus of the pavement layer according to the propagation speed; inputting the stress, the vertical displacement, the elastic modulus of the road surface layer and the thickness of the road surface layer into a trained roadbed soil modulus calculation model to obtain the elastic modulus of the roadbed soil; and obtaining a dynamic deformation value of the roadbed under the standard load according to the elastic modulus of the roadbed layer, the elastic modulus of the roadbed soil body and the thickness of the pavement layer, and evaluating the health state of the roadbed according to the dynamic deformation value of the roadbed under the standard load.

Furthermore, the loading device comprises a test vehicle, a drop hammer and a buffer steel disc, wherein the drop hammer and the buffer steel disc are mounted on the test vehicle and can freely fall, and the drop hammer falls on the buffer steel disc during free falling.

Furthermore, the buffer steel disc is connected with the test vehicle through a telescopic drop hammer guide rod, and the drop hammer freely falls on the buffer steel disc along the drop hammer guide rod.

Furthermore, the data acquisition device comprises a position sensor which is arranged on the test vehicle and can fall and retract and a stress sensor which is arranged on the buffer steel disc.

And further, comparing the dynamic deformation value of the roadbed under the standard load with the allowable dynamic deformation value of the roadbed top surface, and evaluating the health state of the roadbed.

Further, a training sample is formed according to the elastic modulus of the road surface layer of the sample road, the elastic modulus of the soil body of the roadbed, the thickness of the road surface layer, the stress generated by the road surface and the vertical displacement of the road surface, and the model for calculating the soil body modulus of the roadbed is trained to obtain a trained model for calculating the soil body modulus of the roadbed.

Further, the vertical displacement of the road surface in the training sample is obtained by inputting the stress generated by the road surface into a double-layer unsaturated porous elastic medium model.

Furthermore, a neural network model is adopted as a roadbed soil modulus calculation model.

A health diagnosis device for service performance of a roadbed according to the embodiment is described in detail with reference to fig. 1 to 3.

A health diagnosis device for roadbed service performance comprises a loading device, a data acquisition device and a data analysis device.

As shown in fig. 1, the loading device comprises a test vehicle, and a drop weight 7 and a buffer steel disc 8 which are arranged on the test vehicle 1.

Wherein, the drop hammer 7 can be followed free fall on test car 1, and buffering steel disc 8 is connected with test car 1 through drop hammer guide arm 6, and drop hammer guide arm 6 is the telescopic link, can stretch out and withdraw for the test car, and the flexible buffering steel disc 8 that drives of drop hammer guide arm 6 stretches out or withdraws for the test car.

The drop weight 7 freely falls along the drop weight guide rod 6 to the buffer steel disc 8.

The data acquisition device comprises a displacement sensor 4 arranged on the test vehicle 1 and a stress sensor arranged on the buffer steel disc 8.

The displacement sensor 4 can be extended and retracted from the test carriage 1.

The data analysis device 9 is arranged on the test vehicle 1 and is connected with the displacement sensor 4 and the stress sensor through the synchronous lead 5.

When a road is tested, the test vehicle 1 is driven to a preset position of the road, and the displacement sensor 4, the drop hammer guide rod 6 and the buffer steel disc 8 are discharged from the test vehicle.

And discharging the drop hammer 7 to be a free drop body, and smashing the drop hammer to the buffer steel disc 8 to excite the road.

When the drop hammer 7 is hammered onto the buffer steel disc 8, the vertical displacement generated by the road is collected through the displacement sensor 4, and the stress generated by the road is collected through the stress sensor.

Vertical displacement and stress that will the road produce are sent to data analysis device 9, carry out the analysis to vertical displacement and stress through data analysis device 9, and then assess the health status of road bed, when the road bed soil body health state is relatively poor, send out the warning, indicate that the health status of this department road bed soil body is relatively poor, need in time take the measure reinforcement.

After the measurement of the position of the road is finished, as shown in fig. 2, the displacement sensor 4, the drop weight 7, the drop weight guide rod 6 and the buffer steel disc 8 are withdrawn into the test vehicle, the vehicle is driven out of the effective measurement area forward and driven to the next measurement point for testing, and the evaluation of the health state of the roadbed of the whole road is realized.

The data analysis device 9 analyzes the vertical displacement and the stress, and the specific process of obtaining the roadbed health state evaluation result is as follows:

s1: carrying out frequency spectrum analysis on the vertical displacement signal obtained by the displacement sensor 4 to obtain a frequency dispersion curve of the test section, and further obtaining the propagation velocity V of the Rayleigh wave of the pavement layer_RThickness h of pavement layer₁By using the propagation velocity V_RObtaining modulus of elasticity E of pavement layer₁。

Wherein, the modulus of elasticity E of the pavement layer₁The calculation formula of (2) is as follows:

where ρ is the density of the pavement medium and ν is the poisson's ratio of the pavement medium.

S2: displacement of stress P and vertical directionModulus of elasticity E of pavement layer₁Thickness h of pavement layer₁Inputting the obtained data into a trained roadbed soil modulus calculation model to obtain the roadbed soil elastic modulus E₂。

Wherein, the roadbed soil modulus calculation model adopts a neural network model or a machine learning algorithm, and comprises the following steps:

and training the roadbed soil mass calculation model to obtain a trained roadbed soil mass modulus calculation model.

The vertical displacement of the road surface in the training sample is obtained by inputting the stress P generated by the road surface into a double-layer unsaturated porous elastic medium model, and specifically comprises the following steps:

under the action of the axisymmetric vertical impact load of the drop hammer, the dynamic response problem of the roadbed can be simplified into a space axisymmetric model, for convenience of description, the double-layer model shown in fig. 3 is taken as an example, and based on the unsaturated porous elastic medium calculation model, the overall stress and displacement relation of the double-layer unsaturated porous elastic medium model can be obtained by using an accurate stiffness matrix method and an integral transformation method:

whereinIs the displacement on the interfaces of the layers in the integral transform domain;is the stress on the interfaces of the layers in the integral transform domain; [ B ]]The method is an integral flexibility matrix of a double-layer model, and can be derived from a control equation (4) of the unsaturated porous medium by using an accurate rigidity matrix method and an integral transformation method.

Wherein sigma_ijRepresents the total stress; ρ ═ 1-n ρ_s+nS_rρ_w+n(1-S_r)ρ_aIs the total density of unsaturated porous medium, n is the porosity of soil body, S_rDenotes the degree of saturation, p_s、ρ_wAnd ρ_aRespectively the material density of each phase medium; (. h) represents the derivative with respect to time; the displacement component of the pore water and the pore gas in the direction i relative to the soil particles is W_iAnd V_i(ii) a g represents the acceleration of gravity; k is a radical of_wAnd k_aRespectively representing the permeability coefficients of pore water and pore gas; delta_ijIs a Kronecker symbol; p represents the action onThe average pore pressure around the soil particles; λ and μ are Lame constants; first Biot coefficient a ═ 1-K_b/K_s，K_bAnd K_sThe volume compression modulus of the soil skeleton and the soil particles respectively, and has K_bλ +2 μ/3 and K_b＜＜K_s；Is the volume strain, u represents the soil particle displacement vector; epsilon_ijIs the strain tensor; A₁₄＝1，A₂₄＝1，alpha, m and d are soil-water characteristic curve model fitting parameters; s_eIs the effective saturation.

The stress generated by the sample road pavement collected by the stress sensor on the buffer steel disc 8 is subjected to integral conversion to obtain the stressAnd (4) inputting the double-layer unsaturated porous elastic medium model expressed by the formula (3) to obtain the vertical displacement of the pavement.

Because different layers in the double-layer unsaturated porous elastic medium model have different mechanical parameters, a large number of combinations P E are selected for each mechanical parameter within a possible range according to the actual sample road structure and the standard requirement₁ E₂ h₁The calculation of the vertical displacement of the road surface is carried out to obtain the vertical displacement at the same position of the top surface of the road as the displacement sensor 4, e.g.

S3: modulus of elasticity E of pavement layer₁Elastic modulus E of roadbed soil body₂Thickness h of pavement layer₁Obtaining the dynamic deformation value u of the roadbed under the standard load_zDynamic deformation value u of roadbed under standard load_zThe calculation formula of (2) is as follows:

in the formula: α＝-ω²+2Vωβ-V²β²；v and omega are respectively the running speed and the vibration frequency of the test vehicle; beta and gamma are integral transformation parameters; a. the₂、B₂、C₂、D₂Is an integration constant.

S4: according to the dynamic deformation value u of the roadbed under the standard load_zAnd evaluating the health state of the roadbed.

The method specifically comprises the following steps: dynamic deformation value u of roadbed under standard load_zAllowable dynamic deformation value u of roadbed top surface_drAnd comparing and evaluating the health state of the road.

When u is_z>u_drThe current test position is automatically recorded, an alarm is given, and the situation that the health condition of the roadbed soil body is poor is prompted, and measures are required to be taken for reinforcement in time.

Wherein, the allowable dynamic deformation value u of the top surface of the roadbed_drComprises the following steps:

wherein A is_c、A_s、A_bFor coefficients relating to road grade, type and nature of structural layers, A_aThe ratio of the dynamic deformation amplitude of the roadbed top surface to the road surface is shown.

According to the method, the load is applied to the road, the stress and the vertical displacement generated by the road surface when the load is applied are collected, the dynamic deformation value of the roadbed under the standard load is obtained through analyzing the stress and the vertical displacement, the health state of the roadbed is diagnosed according to the dynamic deformation value of the roadbed under the standard load, and the rapid nondestructive detection of the health state of the roadbed is realized.

In addition: the displacement sensor 4 in this embodiment may be replaced by a speed sensor or an acceleration sensor, and when the speed sensor or the acceleration sensor is used, time integration is performed on signals acquired by the sensor to obtain displacement signals, and then the displacement signals are analyzed to obtain a dynamic deformation value of the roadbed under a standard load.

Example 2

In this embodiment, a health diagnosis method for roadbed service performance is disclosed, which includes:

collecting stress and vertical displacement generated on a road surface when a load is applied to the road;

carrying out spectrum analysis on the vertical displacement signal to obtain the propagation speed of the rayleigh wave of the pavement layer and the thickness of the pavement layer;

obtaining the elastic modulus of the road surface layer according to the propagation speed;

inputting the stress, the vertical displacement, the elastic modulus of the road surface layer and the thickness of the road surface layer into a trained roadbed soil modulus calculation model to obtain the elastic modulus of the roadbed soil;

obtaining a dynamic deformation value of the roadbed under a standard load according to the elastic modulus of the roadbed layer, the elastic modulus of the roadbed soil body and the thickness of the pavement layer;

and evaluating the health state of the roadbed according to the dynamic deformation value of the roadbed under the standard load.

Example 3

In this embodiment, an electronic device is disclosed, which comprises a memory and a processor, and computer instructions stored in the memory and executed on the processor, wherein the computer instructions, when executed by the processor, perform the steps of the method for diagnosing health of a road service performance disclosed in embodiment 2.

Example 4

In this embodiment, a computer readable storage medium is disclosed for storing computer instructions, which when executed by a processor, perform the steps of a method for health diagnosis of service performance of a roadbed as disclosed in embodiment 2.

The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.