Dynamic evaluation method and system for service performance of PRB material in groundwater pollution remediation

Abstract

The invention belongs to the technical field of groundwater pollution treatment, and discloses a dynamic evaluation method and system for the service performance of a PRB material in groundwater pollution remediation, and the method comprises the steps: obtaining a pollution remediation concentration curve, and calculating the actual removal amount of a filling material to hexavalent chromium pollutants according to the concentration curve; calculating the active surface area of the filling material, and establishing a correlation model of the active surface area and the removal performance of the filling material based on the active surface and the actual removal amount; measuring complex resistivity spectrum data of different areas at different time points of the polluted site and extracting characteristic parameters of the complex resistivity spectrum data to obtain complex resistivity characteristic parameters; and constructing a mapping model of the actual removal amount of the hexavalent chromium pollutants and the complex resistivity characteristic parameters, and performing zoned quantitative evaluation on the service performance of the filling material based on a calculation result of the mapping model. According to the invention, a whole-process dynamic evaluation system of the repair concentration, the adsorption performance and the electro-physical characteristics is integrated, and real-time dynamic monitoring and quantitative evaluation of the material performance in the in-situ repair project are realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of groundwater pollution remediation, in particular to a method and system for dynamically evaluating the service performance of PRB materials in groundwater pollution remediation. BACKGROUND

[0002] The statements in this section merely provide background information related to the present application and do not necessarily constitute prior art.

[0003] In the remediation of groundwater hexavalent chromium pollution, the service performance of filling materials (such as zero-valent iron, activated carbon and their composite materials) directly affects the remediation efficiency and engineering stability. Traditional evaluation methods mostly rely on water chemical testing of samples, making it difficult to realize real-time dynamic monitoring of material performance during in-situ remediation. Although the complex resistivity method has been used to characterize the electrochemical properties of material interfaces, there are still problems such as insufficient dynamic monitoring capability, lack of multi-parameter coupling mechanism, and weak spatial partition evaluation system, and it is urgent to establish a full-process dynamic evaluation system integrating remediation concentration, adsorption performance and electro-physical characteristics to solve the problems of poor real-time performance and insufficient multi-dimensional correlation in traditional methods. SUMMARY

[0004] To solve the above problems, the present application provides a method and system for dynamically evaluating the service performance of PRB materials in groundwater pollution remediation, which integrates a full-process dynamic evaluation system of remediation concentration, adsorption performance and electro-physical characteristics, and realizes real-time dynamic monitoring and quantitative evaluation of material performance in in-situ remediation engineering.

[0005] To achieve the above purpose, the present application adopts the following technical solutions: In a first aspect, the present application provides a method for dynamically evaluating the service performance of PRB materials in groundwater pollution remediation, comprising the following steps: Obtaining the remediation concentration curve of groundwater hexavalent chromium pollution, and calculating the actual removal amount of hexavalent chromium pollutants by the filling material according to the concentration curve; Calculating the active surface area of the filling material, and establishing a correlation model between the active surface area of the filling material and the removal performance based on the active surface of the filling material and the actual removal amount of the pollutants; Measuring the complex resistivity spectrum data of different regions at different time points of the pollution site, and extracting the characteristic parameters to obtain the complex resistivity characteristic parameters; Constructing a mapping model of the actual removal amount of hexavalent chromium pollutants by the filling material and the complex resistivity characteristic parameters, and performing partition quantitative evaluation of the service performance of the filling material based on the calculation results of the mapping model.

[0006] As an optional implementation, the actual removal amount of hexavalent chromium pollutants by the filling material is calculated by the formula: ; wherein, is the contaminated solution flowing through the first i porosity volume of the sand column, is the difference between the concentration of the effluent sample and the initial contaminated solution when the contaminated solution flows through i porosity volume, is the mass of the filling material in the calculation section.

[0007] As an alternative embodiment, the groundwater hexavalent chromium pollution remediation concentration curve is obtained, specifically: The sand column experiment of the composite filling material is set, a hexavalent chromium solution with a certain concentration is injected into the sand column at a constant flow rate, and part of the effluent sample of the device after remediation is collected regularly. The concentration of hexavalent chromium in the effluent sample is determined when the hexavalent chromium contaminated solution passes through different porosity volumes between devices, and the remediation curve of the concentration changing with the number of porosity volumes of the hexavalent chromium contaminated solution passing through the device is drawn.

[0008] As an alternative embodiment, the complex resistivity meter is used, the complex resistivity spectrum data of the filling material are measured by the four-pole method using the stepwise interval monitoring method, the parameters of the Cole-Cole model are fitted by the least square fitting method for the complex resistivity spectrum data, and the characteristic parameters of the complex resistivity are obtained.

[0009] As an alternative embodiment, the Cole-Cole model is: ; wherein, is the complex resistivity, ω is the angular frequency, is the conductivity, m is the polarization rate, τ is the scaled relaxation time, and c is the frequency-dependent coefficient.

[0010] As an alternative embodiment, based on the mapping model, the polarization rate is used to represent the active surface area, the scaled relaxation time is used to represent the iron-based particle size, the remediation capacity of different sand column sections is calculated, the remediation area is divided into different areas according to the correlation characteristics of the remediation capacity and the hexavalent chromium removal rate with the polarization rate and the scaled relaxation time, and the indicators are set and referenced, so that the spatial partition quantification of the material service performance and the dynamic evaluation of the remediation performance are realized.

[0011] In a second aspect, the present application provides a dynamic evaluation system for the service performance of PRB material in groundwater pollution remediation, comprising: A pollution removal amount calculation module is configured to: obtain a groundwater hexavalent chromium pollution remediation concentration curve, and calculate the actual removal amount of hexavalent chromium pollutants by the filling material according to the concentration curve. The correlation model building module is configured to: calculate the active surface area of ​​the filling material, and based on the active surface area of ​​the filling material and the actual amount of pollutants removed, establish a correlation model between the active surface area of ​​the filling material and the removal performance. The feature parameter acquisition module is configured to: measure the complex resistivity spectrum data of different areas at different time points of the contaminated site, extract its feature parameters, and obtain complex resistivity feature parameters. The dynamic evaluation module is configured to: construct a mapping model between the actual removal amount of hexavalent chromium pollutants by the filling material and the complex resistivity characteristic parameters, and perform a zoned quantitative evaluation of the service performance of the filling material based on the calculation results of the mapping model.

[0012] Thirdly, the present invention provides an electronic device including a memory and a processor, and computer instructions stored in the memory and running on the processor, wherein the computer instructions, when executed by the processor, perform the method described in the first aspect.

[0013] Fourthly, the present invention provides a computer-readable storage medium for storing computer instructions, which, when executed by a processor, perform the method described in the first aspect.

[0014] Fifthly, the present invention provides a computer program product, including a computer program that, when executed by a processor, implements the method described in the first aspect.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention proposes a dynamic evaluation method for the service performance of PRB materials in groundwater pollution remediation. First, a correlation model is established between the remediation status and parameters such as active surface area and complex resistivity. A dynamic evaluation system integrating remediation concentration, adsorption performance, and electrophysical characteristics is then implemented. Finally, monitoring parameters are used to dynamically evaluate the material's remediation performance during the removal of hexavalent chromium pollution from groundwater, achieving real-time dynamic monitoring and quantitative evaluation of material performance in in-situ remediation projects. This solves the problems of poor real-time performance and insufficient multi-dimensional correlation in traditional evaluation methods.

[0016] 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. Attached Figure Description

[0017] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0018] Figure 1 This is a flowchart of the dynamic evaluation method for the service performance of PRB materials in groundwater pollution remediation according to the present invention; Figure 2 A schematic diagram of the experimental setup for monitoring the complex resistivity of a sand column. Figure 3 The graph shows the concentrations of hexavalent chromium and total chromium in the sample. Figure 4 The results of SEM-EDS analysis of zero-valent iron and activated carbon granular samples are shown. Figure 5 A graph of the Cole-Cole fitting data for the filling material; Figure 6 The graph shows the relationship between the removal rate of hexavalent chromium. Figure 7 This is a spectrum curve of complex resistivity. Detailed Implementation

[0019] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0020] It should be noted that the following detailed description is exemplary and intended to provide further illustration of the invention. Unless otherwise specified, 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 invention pertains.

[0021] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments of the invention. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form as well. Furthermore, it should be understood that the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but includes other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0022] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0023] Example 1 like Figure 1 As shown in the figure, this embodiment provides a dynamic evaluation method for the service performance of PRB materials in groundwater pollution remediation, including the following steps: Obtain the concentration curve of hexavalent chromium pollution remediation in groundwater, and calculate the actual removal amount of hexavalent chromium pollutants by the backfill material based on the concentration curve; Calculate the active surface area of ​​the filling material, and establish a correlation model between the active surface area of ​​the filling material and the actual amount of pollutants removed based on the active surface area of ​​the filling material and the removal performance. The complex resistivity spectrum data of different areas at different time points of the contaminated site were measured, and its characteristic parameters were extracted to obtain the complex resistivity characteristic parameters. A mapping model between the actual removal amount of hexavalent chromium pollutants by the filling material and the characteristic parameters of complex resistivity was constructed. Based on the calculation results of the mapping model, the service performance of the filling material was evaluated by region and quantitatively.

[0024] The specific solution of the present invention is as follows: Obtaining the concentration curve of hexavalent chromium pollution remediation in groundwater, such as... Figure 2 As shown, a sand column experiment with composite filling materials was set up (taking sand-zero-valent iron-activated carbon as an example). A hexavalent chromium solution of a certain concentration was injected into the sand column at a constant flow rate, and the effluent water samples were monitored at different pore volumes (PV). The hexavalent chromium concentration in the effluent water samples was determined using 1,5-diphenylcarbazide spectrophotometry (UV-Vis spectrophotometer, 540 nm wavelength), and the total chromium concentration was simultaneously determined by ICP-OES to obtain concentration data corresponding to different pore volumes. Then, a remediation concentration curve was plotted with pore volume as the horizontal axis and concentration as the vertical axis. Figure 3 ).

[0025] A hexavalent chromium pollution remediation experiment was conducted. A certain concentration of hexavalent chromium was introduced into the experimental device at a fixed flow rate. Water samples were collected periodically from the device after remediation. The concentration C of hexavalent chromium in the water samples was measured when different volumes of hexavalent chromium pollution solution passed between the devices. A remediation curve was plotted to show the change in concentration with the volume of hexavalent chromium pollution solution passing between the devices.

[0026] The remediation capacity calculation for hexavalent chromium pollution using sand-zero-valent iron-activated carbon composite backfill material is performed using the following formula: , For the first time flowing through the sand column i A contaminated solution with a pore volume of [number] pores. Similarly, For the contaminated solution to flow through i The concentration difference between the outflowing water sample and the initial contaminated liquid when the pore volume is [value missing]. To calculate the mass of the sand-zero-valent iron-activated carbon composite backfill material in the section, the actual removal amount of hexavalent chromium per unit mass of sand-zero-valent iron-activated carbon composite backfill material was calculated by substituting the collected parameters, thus obtaining the remediation capacity.

[0027] The active surface area of ​​material samples during the pollution remediation process was quantified. Material samples were collected at different remediation stages (corresponding to different pore volumes), and the surface morphology of material particles was observed using scanning electron microscopy (SEM). Surface elemental composition and valence states were analyzed using energy dispersive spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS) to obtain microstructural characteristics. Then, image analysis techniques (such as ImageJ software) were used to quantify microscopic parameters such as surface porosity, roughness, and particle diameter of the sand-zero-valent iron-activated carbon composite filling material, and the active surface area was calculated. A correlation model between active surface area and removal performance was established (e.g., ...). q = k • S + b ,in q This refers to the adsorption capacity. S For active surface area, k This is the proportionality coefficient. b (The intercept is used to clarify the influence of microstructure on removal performance).

[0028] Complex resistivity characteristic parameters at different monitoring times were extracted using a PSIP complex resistivity meter via the four-electrode method (e.g., Figure 2 The device (with power supply electrodes at both ends of the sand column and three sets of measuring electrodes in the middle) employs a stepped interval monitoring method: dense monitoring in the initial stage and sparse monitoring in the later stage (monitoring every 6 PV from 0-24 PV, and every 12 PV from 24-120 PV), taking into account both the dynamic process and long-term trend. The complex resistivity spectrum data of the sand-zero-valent iron-activated carbon composite filling material are measured, and a complex resistivity spectrum curve is plotted (e.g., ...). Figure 7 (Frequency range: 0.01~1000Hz). Then, based on the obtained complex resistivity spectrum data, the Cole-Cole model is fitted using the least squares method: The parameters are fitted to obtain the characteristic parameters of the sample (such as polarizability, scaling relaxation time, low-frequency conductivity, high-frequency conductivity, etc.). In the Cole-Cole model... Complex resistivity (including real part) and the virtual part ), where ω is the angular frequency, m is the electrical conductivity, and m is the polarizability. To scale the relaxation time, c is the frequency correlation coefficient. The trends of these parameters with pore volume are obtained ( Figure 5 This reflects the particle size and interfacial relaxation process of the sand-zero-valent iron-activated carbon composite backfill material in the section.

[0029] A mapping model between the remediation capacity and complex resistivity parameters of sand-zero-valent iron-activated carbon composite backfill material was constructed. The remediation capacity is equal to the integral of the hexavalent chromium removal rate and the horizontal axis. The hexavalent chromium removal rate data and complex resistivity characteristic parameters under different pore volumes were calculated, and a mapping model between the remediation capacity and complex resistivity parameters (polarizability, scaling relaxation time) was constructed. Figure 6 (Polarization and scaling relaxation time are linearly positively correlated with repair capacity), clarifying the characterization role of complex resistivity parameters on repair performance, and realizing the indirect evaluation of repair capacity through complex resistivity parameters.

[0030] A zonal quantitative evaluation of the service performance of sand-zero-valent iron-activated carbon composite backfill materials was conducted. Based on a mapping model, polarizability was used to characterize the active surface area, and scaling relaxation time was used to characterize the iron-based particle size. The remediation capacity of different sand column sections was calculated. Based on the correlation characteristics between remediation capacity and hexavalent chromium removal rate with polarizability and scaling relaxation time, the following was established: The remaining index of overall repair performance. The polarizability retention rate of the measured sand column section after passing through a hexavalent chromium contaminated solution with pore volume i is given. The measured polarizability of the sand column section after passing through a hexavalent chromium-contaminated solution with pore volume i is the actual polarizability. The initial polarizability of the sand column section measured before the experiment began; The scaling relaxation time retention rate is the percentage of the measured sand column section after passing through i volumes of hexavalent chromium-contaminated solution. The actual scaling relaxation time of the measured sand column section after passing through i volumes of hexavalent chromium-contaminated solution is denoted as . The initial scaling relaxation time of the sand column section was measured before the experiment began.

[0031] ; ; ; Set and refer to indicators to divide the repair area into, for example, a high-efficiency zone. ), attenuation region ( ), failure zone ( This enables spatial zoning quantification of material service performance and dynamic evaluation of repair performance.

[0032] Example 2 This embodiment provides a dynamic evaluation system for the service performance of PRB materials in groundwater pollution remediation, including: The pollution removal calculation module is configured to: acquire the concentration curve of hexavalent chromium pollution remediation in groundwater, and calculate the actual removal amount of hexavalent chromium pollutants by the backfill material based on the concentration curve; The correlation model building module is configured to: calculate the active surface area of ​​the filling material, and based on the active surface area of ​​the filling material and the actual amount of pollutants removed, establish a correlation model between the active surface area of ​​the filling material and the removal performance. The feature parameter acquisition module is configured to: measure the complex resistivity spectrum data of different areas at different time points of the contaminated site, extract its feature parameters, and obtain complex resistivity feature parameters. The dynamic evaluation module is configured to: construct a mapping model between the actual removal amount of hexavalent chromium pollutants by the filling material and the complex resistivity characteristic parameters, and perform a zoned quantitative evaluation of the service performance of the filling material based on the calculation results of the mapping model.

[0033] It should be noted that the above modules correspond to the steps in Embodiment 1, and the examples and application scenarios implemented by the above modules and their corresponding steps are the same, but are not limited to the content disclosed in Embodiment 1. It should also be noted that the above modules can be executed in a computer system as part of the system.

[0034] In further embodiments, the following is also provided: An electronic device includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, which, when executed by the processor, perform the method described in Embodiment 1. For brevity, further details are omitted here.

[0035] It should be understood that in this embodiment, the processor can be a central processing unit (CPU), or it can be 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. A general-purpose processor can be a microprocessor or any conventional processor.

[0036] A computer-readable storage medium for storing computer instructions that, when executed by a processor, perform the method of Embodiment 1.

[0037] The method in Example 1 can be directly executed by a hardware processor, or it can be executed by a combination of hardware and software modules within the processor. The software modules can reside in readily available storage media in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, a detailed description is not provided here.

[0038] A computer program product includes a computer program that, when executed by a processor, implements the method in Embodiment 1.

[0039] The present invention also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions included in program modules, which execute in a device on a target real or virtual processor to perform the processes / methods described above. Typically, program modules include routines, programs, libraries, objects, classes, components, data structures, etc., that perform specific tasks or implement specific abstract data types. In various embodiments, the functionality of program modules can be combined or divided among program modules as needed. The machine-executable instructions for the program modules can execute within a local or distributed device. In a distributed device, the program modules can reside in both local and remote storage media.

[0040] The computer program code used to implement the methods of the present invention may be written in one or more programming languages. This computer program code may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the computer or other programmable data processing device, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a computer, partially on a computer, as a stand-alone software package, partially on a computer and partially on a remote computer, or entirely on a remote computer or server.

[0041] In the context of this invention, computer program code or related data may be carried by any suitable carrier to enable a device, apparatus, or processor to perform the various processes and operations described above. Examples of carriers include signals, computer-readable media, and the like. Examples of signals may include electrical, optical, radio, sound, or other forms of propagation signals, such as carrier waves, infrared signals, etc.

[0042] Those skilled in the art will recognize that the units and algorithm steps described in conjunction with the embodiments herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0043] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. A method for dynamic assessment of PRB material performance in groundwater remediation, characterized in that, The method comprises the following steps: Obtaining a groundwater hexavalent chromium pollution remediation concentration curve, and calculating the actual removal amount of the filling material to the hexavalent chromium pollutants according to the concentration curve; Calculating the active surface area of the filling material, and establishing a correlation model of the active surface area of the filling material and the removal performance based on the active surface of the filling material and the actual removal amount of the pollutants; Measuring the complex resistivity spectrum data of different regions of the contaminated site at different time points, and extracting the characteristic parameters to obtain the complex resistivity characteristic parameters; Constructing a mapping model of the actual removal amount of the filling material to the hexavalent chromium pollutants and the complex resistivity characteristic parameters, and performing zoned quantitative evaluation on the service performance of the filling material based on the calculation results of the mapping model.

2. The method for dynamic evaluation of PRB material performance in groundwater remediation according to claim 1, wherein, The actual removal amount of the filling material to the hexavalent chromium pollutants is calculated by the following formula: ； wherein is the concentration of the contaminant solution flowing through the sand column, i is the concentration of the contaminant solution flowing through the sand column, is the concentration of the contaminant solution flowing through the sand column, i is the concentration of the contaminant solution flowing through the sand column, is the mass of the packing material in the calculation section.

3. The method for dynamic evaluation of PRB material performance in groundwater remediation according to claim 1, wherein, Obtaining a groundwater hexavalent chromium pollution remediation concentration curve, specifically: Setting up a sand column experiment of the composite filling material, injecting a hexavalent chromium solution with a certain concentration into the sand column at a constant flow rate, collecting part of the effluent water sample after remediation at regular intervals, using the hexavalent chromium concentration of the effluent water sample when a certain amount of hexavalent chromium pollution solution passes through different pore volumes between measuring devices to draw a remediation curve of the concentration changing with the pore volume of the hexavalent chromium pollution solution passing through the device.

4. The method for dynamic assessment of PRB material performance in groundwater remediation according to claim 1, wherein, The complex resistivity spectrum data of the filling material are measured by using a complex resistivity meter through a four-pole method using a stepwise interval monitoring method, and the parameters of the Cole-Cole model are fitted by using a least square fitting method to the complex resistivity spectrum data to obtain the complex resistivity characteristic parameters.

5. The method for dynamic evaluation of PRB material performance in groundwater remediation according to claim 4, wherein, The Cole-Cole model is as follows: ； wherein is the complex resistivity, ω is the angular frequency, is the conductivity, m is the polarizability, τ is the scaled relaxation time, c is the frequency-dependent coefficient.

6. The method for dynamic assessment of PRB material performance in groundwater remediation according to claim 1, wherein, Based on the mapping model, the polarization rate is used to represent the active surface area, and the scaled relaxation time is used to represent the iron-based particle size, the remediation capacity of different sand column sections is calculated, the remediation area is divided into different areas according to the correlation characteristics of the remediation capacity and the hexavalent chromium removal rate with the polarization rate and the scaled relaxation time, and the indicators are set and referenced to realize the spatial zoned quantitative evaluation of the material service performance and the dynamic evaluation of the remediation performance.

7. A dynamic assessment system for the performance of PRB materials in groundwater remediation, characterized in that, It comprises: The pollution removal amount calculation module is configured to obtain a groundwater hexavalent chromium pollution remediation concentration curve, and calculate the actual removal amount of the filling material to the hexavalent chromium pollutants according to the concentration curve; The correlation model establishment module is configured to calculate the active surface area of the filling material, and establish a correlation model of the active surface area of the filling material and the removal performance based on the active surface of the filling material and the actual removal amount of the pollutants; The characteristic parameter acquisition module is configured to measure the complex resistivity spectrum data of different regions of the contaminated site at different time points, and extract the characteristic parameters to obtain the complex resistivity characteristic parameters; The dynamic evaluation module is configured to construct a mapping model of the actual removal amount of the filling material to the hexavalent chromium pollutants and the complex resistivity characteristic parameters, and perform zoned quantitative evaluation on the service performance of the filling material based on the calculation results of the mapping model.

8. An electronic device, comprising: A computer readable storage medium, comprising a memory and a processor, and computer instructions stored in the memory and run on the processor, when the computer instructions are run by the processor, the method of any one of claims 1-6 is completed.

9. A computer-readable storage medium, characterized in that, A computer readable storage medium for storing computer instructions, when the computer instructions are executed by the processor, the method of any one of claims 1-6 is completed.

10. A computer program product, characterised in that, A computer program comprising computer program elements which, when executed by a processor, perform the method according to any one of claims 1-6. A computer program comprising computer program elements which, when executed by a processor, perform the method according to any one of claims 1-6.

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