Engineering investment estimation method and device for helium extraction project

Abstract

The invention discloses a project investment estimation method and device for a helium extraction project. The method comprises the following steps: based on description information of engineering investment influence determination factors of a proposed helium extraction target project, obtaining an engineering investment preliminary estimation result through a pre-trained clustering learning model; determining the weight of the uncertain factors influencing the project investment; under the condition of each set occurrence probability, according to the proportion of the project investment influenced by each uncertain factor, determining the amplitude of the project investment influenced by each uncertain factor by using a probability analysis method; determining an engineering investment adjustment coefficient according to the weight of each uncertain factor and the amplitude influencing the engineering investment; and determining an engineering investment estimation result under the occurrence probability according to the engineering investment adjustment coefficient and the preliminary estimation result. According to the method, under the conditions that engineering investment estimation data is few and uncertainty factors are difficult to quantify in the evaluation stage of the proposed overseas helium extraction project, reasonable estimation of the engineering investment is realized by combining memory determination factors and external uncertainty factors.

Description

Technical Field

[0001] The present invention relates to the technical field of investment research in helium resource development projects, and particularly relates to a method and device for estimating the engineering investment of a helium extraction project. Background Art

[0002] The endowment of helium resources varies greatly, and the investment levels are different. Helium is one of the products of natural gas development. The helium extraction process technology and the combination of process flows vary widely, and the estimated results of the engineering investment in helium extraction projects are different. Currently, the project quantity is mainly determined according to the specific process design, and the investment of a specific project is estimated by combining with the current price level of the country where the project is located. Summary of the Invention

[0003] In order to enrich the process route and increase the selection space, the embodiments of the present invention provide a method and device for estimating the engineering investment of a helium extraction project. In the case where there is little information for estimating the engineering investment and it is difficult to quantify the uncertain factors during the evaluation stage of a proposed overseas helium extraction project, by combining the internal determined factors and the external uncertain factors, a reasonable estimation of the engineering investment is achieved.

[0004] In a first aspect, the embodiments of the present invention provide a method for estimating the engineering investment of a helium extraction project, including:

[0005] Based on the description information of the determined factors affecting the engineering investment of the proposed helium extraction target project, through a pre-trained clustering learning model, obtaining a preliminary estimated result of the engineering investment of the target project;

[0006] Determining the weights of the uncertain factors affecting the engineering investment of the target project according to the expert scores;

[0007] Under each set occurrence probability: according to the proportion of each uncertain factor affecting the engineering investment, using the probability analysis method to determine the range of influence of each uncertain factor on the engineering investment; according to the weights of each uncertain factor and the range of influence on the engineering investment, determining an engineering investment adjustment coefficient; according to the engineering investment adjustment coefficient and the preliminary estimated result of the engineering investment, determining the estimated result of the engineering investment under this occurrence probability.

[0008] In a second aspect, the embodiments of the present invention provide a device for estimating the engineering investment of a helium extraction project, including:

[0009] A preliminary estimation module, configured to obtain a preliminary estimated result of the engineering investment of the target project based on the description information of the determined factors affecting the engineering investment of the proposed helium extraction target project, through a pre-trained clustering learning model;

[0010] An uncertain factor weight determination module, configured to determine the weights of the uncertain factors affecting the engineering investment of the target project according to the expert scores;

[0011] An estimation module is configured to, under each set occurrence probability: determine the range of influence of each uncertain factor on the project investment by using probability analysis method according to the proportion of each uncertain factor affecting the project investment; determine the project investment adjustment coefficient according to the weight of each uncertain factor and the range of influence on the project investment; and determine the project investment estimation result under this occurrence probability according to the project investment adjustment coefficient and the preliminary project investment estimation result.

[0012] In a third aspect, an embodiment of the present invention provides a computer storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the engineering investment estimation method of the above-mentioned helium extraction project is implemented.

[0013] In a fourth aspect, an embodiment of the present disclosure provides a server, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the engineering investment estimation method of the above-mentioned helium extraction project is implemented.

[0014] The beneficial effects of the above technical solutions provided by the embodiments of the present invention at least include:

[0015] The engineering investment estimation method of the helium extraction project provided by the embodiment of the present invention is based on the description information of the determining factors affecting the engineering investment of the proposed helium extraction target project, and obtains the preliminary engineering investment estimation result of the target project through a pre-trained clustering learning model; determines the weights of the uncertain factors affecting the engineering investment of the target project according to expert scoring; under each set occurrence probability: determine the range of influence of each uncertain factor on the project investment by using probability analysis method according to the proportion of each uncertain factor affecting the project investment; determine the project investment adjustment coefficient according to the weight of each uncertain factor and the range of influence on the project investment; and determine the project investment estimation result under this occurrence probability according to the project investment adjustment coefficient and the preliminary project investment estimation result. This method provides an engineering investment estimation method for helium extraction projects that combines the internal determining factors and external uncertain factors affecting the engineering investment of helium extraction projects for the situation where there is little engineering investment estimation data and it is difficult to quantify uncertain factors in the evaluation stage of proposed overseas helium extraction projects, and provides a reasonable basis for overseas helium projects to obtain evaluation quotes and investment decisions.

[0016] Other features and advantages of the present invention will be described in the following specification, and, in part, will be obvious from the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained by the structures specifically pointed out in the written specification, claims, and drawings.

[0017] The technical solutions of the present invention will be further described in detail below through the drawings and embodiments. Description of the Drawings

[0018] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the accompanying drawings:

[0019] Figure 1 is a flowchart of the engineering investment estimation method for the helium extraction project in the embodiments of the present invention;

[0020] Figure 2 is a structural schematic diagram of the engineering investment estimation device for the helium extraction project in the embodiments of the present invention. Detailed Embodiments

[0021] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art.

[0022] It should be understood that the terms used in the present invention are only for describing particular embodiments and are not intended to limit the present invention. Additionally, for the numerical ranges in the present invention, it should be understood that each intermediate value between the upper and lower limits of the range is also specifically disclosed. Each intermediate value within any stated value or stated range, as well as each smaller range between any other stated value or intermediate value within the stated range, is also included in the present invention. The upper and lower limits of these smaller ranges can be independently included or excluded from the range.

[0023] Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention pertains. Although the present invention only describes preferred methods and materials, any methods and materials similar or equivalent to those described herein can also be used in the implementation or testing of the present invention. All documents mentioned in this specification are incorporated by reference to disclose and describe the methods and / or materials related to the documents. In case of conflict with any incorporated document, the content of this specification shall prevail.

[0024] The inventors found in their work that there is currently no rapid engineering investment estimation method for helium extraction projects in the evaluation stage of overseas helium extraction projects when there is no detailed helium investment parameter information. The embodiments of the present invention provide an engineering investment estimation method and device for helium extraction projects, which combine internal deterministic factors and external uncertainty factors to achieve reasonable estimation of engineering investment in the case of less engineering investment estimation information and difficult quantification of uncertainty factors in the evaluation stage of proposed overseas helium extraction projects.

[0025] Embodiments

[0026] An embodiment of the present invention provides an engineering investment estimation method for a helium extraction project, which is applicable to the engineering investment estimation of natural gas helium extraction projects and also applicable to the engineering investment estimation of other raw gas helium extraction projects. Its process is referred to Figure 1 as shown, and includes the following steps:

[0027] Step S11: Based on the description information of the determining factors affecting the engineering investment of the proposed helium extraction target project, through a pre-trained clustering learning model, obtain the preliminary engineering investment estimation result of the target project.

[0028] First, construct characteristic factors related to the engineering investment of various types of helium extraction projects. In the evaluation stage of helium extraction projects, factors such as the helium concentration in the raw gas, the helium extraction process, the proposed helium purity, the helium extraction scale, the construction time, and the resource country where the project is located are determined, and all of them may affect the investment scale of different helium extraction projects. Therefore, the engineering investment estimation of helium extraction projects is also different. Thus, use at least one of the above indicators to characterize different investment levels of helium projects as the determining factors affecting the engineering investment, as shown in Table 1.

[0029] Table 1 Determining factors affecting the evaluation investment estimation of overseas helium projects

[0030]

[0031]

[0032] Pre-train the clustering learning model according to the description information of the determining factors affecting the engineering investment of multiple existing helium extraction projects and the actual engineering investment. Based on the description information of the determining factors affecting the engineering investment of the proposed helium extraction target project, through the pre-trained clustering learning model, obtain the preliminary engineering investment estimation result C He0 .

[0033] Step S12: Determine the weights of the uncertain factors affecting the engineering investment of the target project according to expert scoring.

[0034] There are great uncertainties in the implementation environment of helium extraction projects such as the political environment, economic environment, legal policies, resource country exchange rate, infrastructure, and natural conditions of the resource country where the proposed project is located. The changes in uncertain factors often have a greater impact on the investment estimation of helium extraction projects. Therefore, use at least one of the above factors as the uncertain factors affecting the engineering investment, as shown in Table 2.

[0035] Table 2 Uncertainty factors affecting the evaluation investment estimation of overseas helium projects

[0036] Serial number Uncertainty factors Description 1 Political environment The political environment affects investment security 2 Economic conditions Economic conditions reflect the resource construction capacity. Different construction teams result in different investment outcomes 3 Laws and policies Affect taxes, fees, construction personnel costs, etc 4 Resource country exchange rate Affect the estimation results in US dollars 5 Infrastructure Affect facility transportation, water supply and power supply, thus affecting investment 6 Natural conditions Affect the construction difficulty, thus affecting investment

[0037] Determine the influence degree of each uncertain factor on the investment estimation result, that is, the weight Si, ∑Si = 1, where i represents the serial number of the uncertain factor.

[0038] Step S13: Under each set occurrence probability: According to the proportion of each uncertain factor affecting the project investment, use probability analysis method to determine the range of influence of each uncertain factor on the project investment; According to the weight of each uncertain factor and the range of influence on the project investment, determine the project investment adjustment coefficient; According to the project investment adjustment coefficient and the preliminary project investment estimation result, determine the project investment estimation result under this occurrence probability.

[0039] Among them, according to the proportion of each uncertain factor affecting the project investment, using the probability analysis method to determine the range of influence of each uncertain factor on the project investment may include using Crystal Ball software to simulate and calculate the range of influence of each uncertain factor on the project investment.

[0040] The proportion of each uncertain factor affecting the project investment is not less than -30% and not more than 30%. The specific number can be determined by the evaluator according to the project materials; The set occurrence probabilities are 10%, 50% and 90%.

[0041] As shown in Table 3, it is the sensitivity probability analysis table of uncertain factors for a helium extraction project:

[0042] Table 3 Sensitivity Probability Analysis Calculation of Uncertain Factors for a Certain Project

[0043] Serial number Occurrence probability 10％ 50％ 90％ 1 Political environment -10％ 5％ 10％ 2 Economic conditions -15％ 10％ 15％ 3 Laws and policies 30％ 10％ 5％ 4 Resource country exchange rate -15％ 15％ 10％ 5 Infrastructure -10％ 15％ 5％ 6 Natural conditions 30％ 20％ 6％

[0044] According to the proportion of each uncertain factor affecting the project investment and the occurrence probability, use the probability analysis method to determine the range of influence V of each uncertain factor on the project investment i 。

[0045] According to the weight of each uncertain factor and the range of influence on the project investment, determining the project investment adjustment coefficient may include determining the product of the weight of the uncertain factor and the range of influence on the project investment, and determining the sum of the products of the weights of each uncertain factor and the range of influence on the project investment as the project investment adjustment coefficient.

[0046] The project investment adjustment coefficient under the occurrence probability of 10%: α 10％ = ∑V 10％i S i ;

[0047] The project investment adjustment coefficient under the occurrence probability of 50%: α 50％ = ∑V 50％i S i ;

[0048] The project investment adjustment coefficient under the occurrence probability of 90%: α90％ = ∑V 90％i S i 。

[0049] According to the project investment adjustment coefficient and the preliminary estimate result of the project investment, determine the project investment estimate result under this probability of occurrence, which may include multiplying the project investment adjustment coefficient and the preliminary estimate result of the project investment to determine the project investment adjustment amount; adding the adjustment amount to the preliminary estimate result of the project investment to determine the project investment estimate result under this probability of occurrence.

[0050] Project investment estimate result under a 10% probability of occurrence: C He1 = (1 + α 10％ )C He0 ;

[0051] Project investment estimate result under a 50% probability of occurrence: C He1 = (1 + α 50％ )C He0 ;

[0052] Project investment estimate result under a 90% probability of occurrence: C He1 = (1 + α 90％ )C He0 。

[0053] The project investment estimation method for the helium extraction project provided by the embodiments of the present invention, based on the description information of the determining factors affecting the project investment of the proposed helium extraction target project, obtains the preliminary estimate result of the project investment of the target project through a pre-trained clustering learning model; determines the weights of the uncertain factors affecting the project investment of the target project according to expert scoring; under each set probability of occurrence: determines the amplitude of the impact of each uncertain factor on the project investment by using the probability analysis method according to the proportion of the impact of each uncertain factor on the project investment; determines the project investment adjustment coefficient according to the weights of each uncertain factor and the amplitude of the impact on the project investment; determines the project investment estimate result under this probability of occurrence according to the project investment adjustment coefficient and the preliminary estimate result of the project investment. This method provides a project investment estimation method for the helium extraction project that combines the internal determining factors and external uncertain factors affecting the project investment of the helium extraction project for the situation where there is little project investment estimation data and it is difficult to quantify uncertain factors in the evaluation stage of the proposed overseas helium extraction project, and provides a reasonable basis for obtaining evaluation quotations and investment decisions for overseas helium projects.

[0054] In some embodiments, it may further include determining the project investment estimate result of the target project according to the project investment estimate result under each probability of occurrence.

[0055] Specifically, it may be to determine the project investment estimate result of the target project by means of arithmetic average or weighted average.

[0056] Based on the inventive concept of the present invention, an embodiment of the present invention further provides an engineering investment estimation device for a helium extraction project. The structure of the device is as shown in Figure 2 and includes:

[0057] A preliminary estimation module 21, configured to obtain a preliminary engineering investment estimation result of the target project through a pre-trained clustering learning model based on the description information of the factors affecting the engineering investment of the proposed helium extraction target project;

[0058] An uncertainty factor weight determination module 22, configured to determine the weights of the uncertainty factors affecting the engineering investment of the target project according to expert scoring;

[0059] An estimation module 23, configured to, in each set occurrence probability case: determine the amplitude of the impact of each uncertainty factor on the engineering investment according to the proportion of the impact of each uncertainty factor on the engineering investment by using the probability analysis method; determine the engineering investment adjustment coefficient according to the weights of each uncertainty factor and the amplitude of the impact on the engineering investment; and determine the engineering investment estimation result in this occurrence probability case according to the engineering investment adjustment coefficient and the preliminary engineering investment estimation result.

[0060] In some embodiments, for the estimation module 23, when using the probability analysis method to determine the amplitude of the impact of each uncertainty factor on the engineering investment, it is used for:

[0061] Simulating and calculating the amplitude of the impact of each uncertainty factor on the engineering investment by using Crystal Ball software.

[0062] In some embodiments, for the estimation module 23, when determining the engineering investment adjustment coefficient according to the weights of each uncertainty factor and the amplitude of the impact on the engineering investment, it is used for:

[0063] Determine the product of the weight of the uncertainty factor and the amplitude of the impact on the engineering investment, and determine the sum of the products of the weights of each uncertainty factor and the amplitude of the impact on the engineering investment as the engineering investment adjustment coefficient.

[0064] In some embodiments, for the estimation module 23, when determining the engineering investment estimation result in this occurrence probability case according to the engineering investment adjustment coefficient and the preliminary engineering investment estimation result, it is used for:

[0065] Determine the product of the engineering investment adjustment coefficient and the preliminary engineering investment estimation result as the engineering investment adjustment amount; and determine the sum of the adjustment amount and the preliminary engineering investment estimation result as the engineering investment estimation result in this occurrence probability case.

[0066] In some embodiments, the estimation module 23 is further configured to:

[0067] Determine the engineering investment estimation result of the target project according to the engineering investment estimation results in each case of occurrence probability.

[0068] Regarding the device in the above embodiments, the specific manners in which each module performs operations have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0069] Based on the inventive concept of the present invention, an embodiment of the present invention further provides a computer storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the engineering investment estimation method of the above-mentioned helium extraction project is implemented.

[0070] Based on the inventive concept of the present invention, an embodiment of the present invention further provides a server, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the engineering investment estimation method of the above-mentioned helium extraction project is implemented.

[0071] Unless otherwise specifically stated, terms such as processing, computing, operation, determination, display, etc. may refer to the actions and / or processes of one or more processing or computing systems, or similar devices, which operate on and transform data represented as physical (such as electronic) quantities in the registers or memories of the processing system into other data similarly represented as physical quantities in the memories, registers, or other such information storage, transmission, or display devices of the processing system. Information and signals can be represented using any of a variety of different technologies and methods. For example, the data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the above description can be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof.

[0072] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process can be rearranged without departing from the scope of the present disclosure. The appended method claims present the elements of the various steps in an exemplary order and are not intended to be limited to the specific order or hierarchy.

[0073] In the foregoing detailed description, various features are combined in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that the embodiments of the claimed subject matter require more features than are stated in each claim. On the contrary, as reflected in the appended claims, the invention lies in less than all of the features of a single disclosed embodiment. Accordingly, the appended claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0074] Those skilled in the art should also understand that the various illustrative logical blocks, modules, circuits, and algorithmic steps described in connection with the embodiments herein can be implemented as electronic hardware, computer software, or combinations thereof. To clearly illustrate the interchangeability of hardware and software, the various illustrative components, blocks, modules, circuits, and steps have been generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in a variable manner for each particular application, but such implementation decisions should not be interpreted as departing from the scope of the present disclosure.

[0075] The steps of a method or algorithm described in connection with the embodiments herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination thereof. The software modules may be located in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may be located in an ASIC. The ASIC may be located in a user terminal. Of course, the processor and the storage medium may also exist as discrete components in a user terminal.

[0076] For a software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit may be implemented within the processor or outside the processor, and in the latter case, it is communicatively coupled to the processor by various means, which are well known in the art.

[0077] The foregoing description includes examples of one or more embodiments. Of course, it is not possible to describe all possible combinations of components or methods for the purpose of describing the above embodiments, but those of ordinary skill in the art should recognize that the various embodiments can be further combined and arranged. Accordingly, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. In addition, with respect to the term "comprising" as used in the specification or claims, that term is inclusive in a manner similar to the term "including," as that term is interpreted when used as a transitional word in a claim. Further, any use of the term "or" in the specification or claims is to be meant "non-exclusive or."

Claims

1. An engineering investment estimation method for a helium extraction project, characterized in that, it includes: Based on the description information of the determining factors affecting the engineering investment of the proposed helium extraction target project, through a pre-trained clustering learning model, obtain the preliminary engineering investment estimation result of the target project; Determine the weights of the uncertain factors affecting the engineering investment of the target project according to expert scoring; Under each set occurrence probability: According to the proportion of each uncertain factor affecting the engineering investment, use the probability analysis method to determine the range of influence of each uncertain factor on the engineering investment; According to the weights of each uncertain factor and the range of influence on the engineering investment, determine the engineering investment adjustment coefficient; According to the engineering investment adjustment coefficient and the preliminary engineering investment estimation result, determine the engineering investment estimation result under this occurrence probability.

2. The method according to claim 1, characterized in that, The use of the probability analysis method to determine the range of influence of each uncertain factor on the engineering investment includes: Using Crystal Ball software to simulate and calculate the range of influence of each uncertain factor on the engineering investment.

3. The method according to claim 1, characterized in that, The determination of the engineering investment adjustment coefficient according to the weights of each uncertain factor and the range of influence on the engineering investment includes: Determine the product of the weight of the uncertain factor and the range of influence on the engineering investment, and determine the sum of the products of the weights of each uncertain factor and the range of influence on the engineering investment as the engineering investment adjustment coefficient.

4. The method according to claim 1, characterized in that, The determination of the engineering investment estimation result under this occurrence probability according to the engineering investment adjustment coefficient and the preliminary engineering investment estimation result includes: Determine the engineering investment adjustment amount as the product of the engineering investment adjustment coefficient and the preliminary engineering investment estimation result; Determine the sum of the adjustment amount and the preliminary engineering investment estimation result as the engineering investment estimation result under this occurrence probability.

5. The method according to claim 1, characterized in that, The proportion of each uncertain factor affecting the engineering investment is not less than -30% and not more than 30%.

6. The method according to claim 1, characterized in that, The set occurrence probabilities are 10%, 50% and 90%.

7. The method according to any one of claims 1 to 6, characterized in that, The determining factors include at least one of the following factors: Raw gas helium concentration, helium extraction process, helium extraction purity, helium extraction scale, construction time and the resource country where the project is located.

8. The method according to any one of claims 1 to 6, characterized in that, The uncertain factors include at least one of the following factors: The political environment, economic environment, legal policies, resource country exchange rate, infrastructure and natural conditions of the resource country where the project is located.

9. The method according to any one of claims 1 to 6, characterized in that, It further includes: According to the engineering investment estimation result under each occurrence probability, determine the engineering investment estimation result of the target project.

10. An engineering investment estimation device for a helium extraction project, characterized in that, it includes: A preliminary estimation module, configured to obtain a preliminary engineering investment estimation result of the target project through a pre-trained clustering learning model based on the description information of the engineering investment impact determining factors of the proposed helium extraction target project; An uncertainty factor weight determination module, configured to determine the weights of the engineering investment impact uncertainty factors of the target project according to expert scoring; An estimation module, configured to, under each set occurrence probability: determine the amplitude of the impact of each uncertainty factor on the engineering investment by using the probability analysis method according to the proportion of each uncertainty factor affecting the engineering investment; determine an engineering investment adjustment coefficient according to the weights of each uncertainty factor and the amplitude of the impact on the engineering investment; and determine the engineering investment estimation result under this occurrence probability according to the engineering investment adjustment coefficient and the preliminary engineering investment estimation result.

11. A computer storage medium, characterized in that, computer-executable instructions are stored in the computer storage medium, and when the computer-executable instructions are executed by a processor, the engineering investment estimation method of the helium extraction project according to any one of claims 1 to 9 is implemented.

12. A server, characterized in that, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the engineering investment estimation method of the helium extraction project according to any one of claims 1 to 9 is implemented.

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