Method, system, equipment and medium for determining cleanliness of heating surface based on entropy weight method

Abstract

The present application discloses a method, system, device, and medium for determining the cleanliness of a heated surface based on an entropy weight method. The method comprises: collecting cleanliness data from multiple days to form a cleanliness data set, and performing data preprocessing on the cleanliness data; calculating the proportion of each preprocessed cleanliness data in the preprocessed cleanliness data set based on the preprocessed cleanliness data; calculating the information entropy carried by the cleanliness of the heated surface based on the proportion; calculating the information redundancy of the cleanliness of each heated surface based on the information entropy carried by the cleanliness of the heated surface; calculating the weight of each heated surface based on the information redundancy of the cleanliness of the heated surface; and calculating the overall cleanliness of the heated surface based on the weight of each heated surface. The present application utilizes the entropy weight method to assign weights to the overall cleanliness of multiple heated surfaces, thereby avoiding errors caused by manual assignment or simple weighted assignment, and improving the accuracy of cleanliness determination for the overall area of ​​multiple heated surfaces.

Description

Technical Field

[0001] The present application relates to the technical field of cleanliness determination, and in particular to a method, system, device and medium for determining the cleanliness of a heated surface based on an entropy weight method. Background Art

[0002] To reduce coal costs, coal-fired power plants have begun blending economical coals with high sulfur and low ash melting points. Because the physical properties of these economical coals differ significantly from those of the design and calibration coals, their compatibility with combustion equipment is weakened when boiler design parameters remain unchanged, making heating surface contamination more likely.

[0003] When a heating surface is contaminated, sootblowing of the corresponding heating surface is required. Currently, most power plants operate by performing boiler sootblowing at fixed times and locations. The drawback of this method is that it is blind and can easily lead to under-blowing or over-blowing, affecting the economic and safety of boiler operation. In addition, ideally, power plants can perform sootblowing of individual heating surfaces based on the cleanliness of each individual heating surface. However, in the actual operation of power plants, combined sootblowing of multiple heating surfaces is often required. The intelligent sootblowing solutions currently available in the art generally solve the determination and execution of sootblowing for a single heating surface, lacking the basis for determining the combined sootblowing of multiple heating surfaces, or simply using simple weighting or manual assignment to solve the problem. Therefore, the above problems need to be solved urgently. Summary of the Invention

[0004] The main purpose of this application is to overcome the shortcomings and deficiencies of the existing technology and provide a method, system, equipment and medium for determining the cleanliness of a heated surface based on the entropy weight method. The entropy weight method is used to weight the overall cleanliness of multiple heated surfaces, thereby avoiding errors caused by manual assignment or simple weighted assignment, and improving the accuracy of determining the cleanliness of the overall area of ​​multiple heated surfaces.

[0005] In order to achieve the above objectives, this application adopts the following technical solutions:

[0006] In a first aspect, the present application provides a method for determining the cleanliness of a heated surface based on an entropy weight method, comprising the following steps:

[0007] Collecting cleanliness data for multiple days to form a cleanliness data set, and preprocessing the cleanliness data to obtain preprocessed cleanliness data;

[0008] Calculate the proportion of each pre-processed cleanliness data in the pre-processed cleanliness data set;

[0009] Calculating the information entropy of the cleanliness of the heated surface according to the proportion of the preprocessed cleanliness data in the preprocessed cleanliness data set;

[0010] The information redundancy of the cleanliness of each heating surface is calculated based on the information entropy carried by the cleanliness of the heating surface;

[0011] Calculating the weight of each heating surface according to the information redundancy of the cleanliness of each heating surface;

[0012] The overall cleanliness of the heating surface is calculated based on the weights of the various heating surfaces, thereby determining the cleanliness of the heating surface.

[0013] As a preferred technical solution, the cleanliness data is determined by the ratio of the heat absorption when the heated surface is clean to the heat absorption when it is contaminated.

[0014] As a preferred technical solution, the preprocessing refers to standardizing the cleanliness data.

[0015] As a preferred technical solution, the information entropy carried by the cleanliness of the heated surface is calculated as follows:

[0016]

[0017] Wherein, j represents the heating surface; i represents the cleanliness data; p ij It represents the proportion of the i-th cleanliness data of the j-th heated surface in the cleanliness data set.

[0018] As a preferred technical solution, the information redundancy of the cleanliness of the heating surface is calculated as follows:

[0019] D j =1―E j ,j={1,2,3..m}.

[0020] As a preferred technical solution, the weight of the heating surface is calculated as follows:

[0021]

[0022] As a preferred technical solution, the overall cleanliness of the heated surface is calculated as follows:

[0023]

[0024] Among them, X j is the cleanliness data of the jth heated surface;

[0025] According to the cleanliness X total The size of the heating surface is used to determine the cleanliness of the heating surface at this time, that is, the cleanliness X total The larger it is, the cleaner the heating surface will be.

[0026] In a second aspect, the present application provides a system for determining the cleanliness of a heated surface based on an entropy weight method, which is applied to the method for determining the cleanliness of a heated surface based on an entropy weight method, and includes a data preprocessing module, a calculation weight module, an information entropy module, an information redundancy module, a heated surface weight module, and a cleanliness module;

[0027] The data preprocessing module is used to collect cleanliness data of multiple days to form a cleanliness data set, and preprocess the cleanliness data to obtain preprocessed cleanliness data;

[0028] The calculation weight module is used to calculate the weight of each pre-processed cleanliness data in the pre-processed cleanliness data set;

[0029] The information entropy module is used to calculate the information entropy carried by the cleanliness of the heated surface according to the proportion of the preprocessed cleanliness data in the preprocessed cleanliness data set;

[0030] The information redundancy module is used to calculate the information redundancy of the cleanliness of each heating surface according to the information entropy carried by the cleanliness of the heating surface;

[0031] The heating surface weight module is used to calculate the weight of each heating surface according to the information redundancy of the cleanliness of each heating surface;

[0032] The cleanliness module is used to calculate the overall cleanliness of the heated surface according to the weights of the various heated surfaces, thereby determining the cleanliness of the heated surface.

[0033] In a third aspect, the present application provides an electronic device, comprising:

[0034] at least one processor; and,

[0035] a memory communicatively connected to the at least one processor; wherein,

[0036] The memory stores computer program instructions that can be executed by the at least one processor, and the computer program instructions are executed by the at least one processor so that the at least one processor can execute the method for determining the cleanliness of a heated surface based on the entropy weight method.

[0037] In a fourth aspect, the present application provides a computer-readable storage medium storing a program, which, when executed by a processor, implements the method for determining the cleanliness of a heated surface based on the entropy weight method.

[0038] In summary, compared with the prior art, the effective effects brought about by the technical solution provided by this application include at least:

[0039] The present application proposes a method for determining the cleanliness of a heated surface based on an entropy weight method, which includes collecting cleanliness data for multiple days to form a cleanliness data set, and performing data preprocessing on the cleanliness data to obtain preprocessed cleanliness data; calculating the proportion of each preprocessed cleanliness data item in the preprocessed cleanliness data set; calculating the information entropy carried by the cleanliness of the heated surface based on the proportion of each cleanliness data item in the cleanliness data set; calculating the information entropy carried by the cleanliness of the heated surface based on the information entropy carried by the cleanliness of the heated surface; calculating the information redundancy of the cleanliness of each heated surface based on the information redundancy of the cleanliness of each heated surface; calculating the weight of each heated surface based on the weight of each heated surface, thereby determining the cleanliness of the heated surface. It can be seen that the present application solves the problem of lack of overall cleanliness determination method when combined sootblowing of multiple heating surfaces in the actual sootblowing operation of the current power plant; at the same time, the entropy weight method is used to weight the overall cleanliness of multiple heating surfaces to avoid errors caused by manual assignment or simple weighted assignment; therefore, the present application can make the intelligent sootblowing system closer to the actual needs of the operating personnel, and improve the availability of the system and the accuracy of cleanliness determination. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0041] Figure 1 A flowchart of a method for determining the cleanliness of a heated surface based on an entropy weight method according to an embodiment of the present application;

[0042] Figure 2 A block diagram of a system for determining the cleanliness of a heated surface based on an entropy weight method according to an embodiment of the present application;

[0043] Figure 3 A structural diagram of an electronic device provided for one embodiment of the present application. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0045] References to "embodiments" in this application mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described in this application may be combined with other embodiments.

[0046] The relevant concepts involved in this application are explained as follows:

[0047] "Heating surfaces" refer to the metal surfaces in the boiler that contact the flame or flue gas and are used to achieve heat exchange within the boiler. They include water walls, platen superheaters, high-temperature superheaters, low-temperature superheaters, high-temperature reheaters, low-temperature reheaters, economizers, and air preheaters.

[0048] "Cleanliness" refers to the cleanliness of the heating surface. During boiler operation, coal components burn in the furnace, turning into ash that deposits on the heating surface, contaminating it and affecting heat transfer. Cleanliness refers to the cleanliness of the heating surface and is usually expressed numerically. Similar descriptions include "cleanliness factor" and "contamination coefficient."

[0049] The "entropy weight method" means that for a certain indicator, the entropy value can be used to determine the degree of dispersion of a certain indicator. The smaller the information entropy value, the greater the degree of dispersion of the indicator, and the greater the influence (i.e., weight) of the indicator on the comprehensive evaluation. For the present invention, since the cleanliness of different heating surfaces is similar in magnitude but varies in magnitude, if simple weighting is applied, the heating surface with a large change in cleanliness will have a disproportionate impact on the overall cleanliness. According to the idea of ​​the entropy weight method, the amount of information carried per unit change of the heating surface with a drastic change in cleanliness is relatively small, so it is necessary to objectively assign weights based on the magnitude of the change.

[0050] Example:

[0051] See also Figure 1 In one embodiment of the present application, a method for determining the cleanliness of a heated surface based on an entropy weight method is provided, comprising the following steps:

[0052] S1. Collect cleanliness data for multiple days to form a cleanliness data set, and perform data preprocessing on the cleanliness data to obtain preprocessed cleanliness data;

[0053] Furthermore, the cleanliness values ​​are respectively selected from the cleanliness data of about one week of operation to form a cleanliness data set X1, X2, X3...X m ;

[0054] X j ={x1,x2,x3...x n}, j = {1, 2, 3.. m};

[0055] Among them, X j is the cleanliness data of the jth heated surface;

[0056] In this embodiment, assuming that there are m heating surfaces, the cleanliness data should have a unified measurement standard, so the data needs to be standardized. Assume that the standardized cleanliness data are K1, K2, K3...K m , and its standardized formula is:

[0057]

[0058] Among them, K ij represents the standardized cleanliness data of the i-th item of the j-th heating surface; X ij Represents the cleanliness data of the i-th item of the j-th heating surface.

[0059] For example, the cleanliness data in this embodiment is obtained by performing certain regular operations on the operating data, that is, the cleanliness data is generally determined by the ratio of the heat absorption when the heated surface is clean to the heat absorption when it is contaminated. If an intelligent sootblowing system is deployed, it can also be calculated within the system.

[0060] S2. Calculate the proportion of each pre-processed cleanliness data in the pre-processed cleanliness data set;

[0061] Furthermore, the proportion in step S2 is mainly used to determine the degree of change of the indicators of each cleanliness data;

[0062] The calculation formula for the proportion of each cleanliness data in the cleanliness data set is:

[0063]

[0064] Wherein, j represents the heated surface; i represents the cleanliness data.

[0065] S3. Calculating the information entropy of the cleanliness of the heated surface based on the proportion of the preprocessed cleanliness data in the preprocessed cleanliness data set;

[0066] Furthermore, the calculation formula for the information entropy carried by the cleanliness of the heated surface is:

[0067]

[0068] Among them, p ij It represents the proportion of the i-th cleanliness data of the j-th heated surface in the cleanliness data set.

[0069] S4. Calculating the information redundancy of the cleanliness of each heating surface based on the information entropy carried by the cleanliness of the heating surface;

[0070] Furthermore, the calculation formula for the information redundancy of the cleanliness of each heated surface is:

[0071] D j =1―E j ,j={1,2,3..m};

[0072] S5. Calculating the weight of each heating surface based on the information redundancy of the cleanliness of each heating surface;

[0073] Furthermore, the calculation formula for the weight of each heating surface is:

[0074]

[0075] S6. Calculate the overall cleanliness of the heating surface based on the weights of each heating surface; and determine the cleanliness of the heating surface at this time based on the overall cleanliness.

[0076] Furthermore, if the overall cleanliness of m heated surfaces needs to be obtained, the overall cleanliness is:

[0077]

[0078] Among them, X j is the cleanliness data of the jth heated surface; cleanliness X total The larger the value, the cleaner the heated surface will be.

[0079] In summary, the present application solves the problem of lack of overall cleanliness determination method when combined sootblowing of multiple heating surfaces in the actual sootblowing operation of current power plants; at the same time, the entropy weight method is used to weight the overall cleanliness of multiple heating surfaces, avoiding errors caused by manual assignment or simple weighted assignment; the present application can make the intelligent sootblowing system closer to the actual needs of operators, and improve the availability of the system and the accuracy of cleanliness determination.

[0080] It should be noted that, for the sake of convenience, the aforementioned method embodiments are all expressed as a series of action combinations, but those skilled in the art should know that this application is not limited to the described order of actions, because according to this application, certain steps can be performed in other orders or simultaneously.

[0081] Based on the same concept as the method for determining the cleanliness of a heated surface based on the entropy weight method in the above-mentioned embodiment, the present application also provides a system for determining the cleanliness of a heated surface based on the entropy weight method, which can be used to execute the above-mentioned method for determining the cleanliness of a heated surface based on the entropy weight method. For ease of explanation, the structural diagram of the embodiment of the system for determining the cleanliness of a heated surface based on the entropy weight method only shows the parts related to the embodiment of the present application. Those skilled in the art will understand that the illustrated structure does not constitute a limitation of the system, and may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0082] See also Figure 2 In another embodiment of the present application, a system 100 for determining cleanliness of a heated surface based on an entropy weight method is provided. The system includes a data preprocessing module 101, a specific gravity calculation module 102, an information entropy module 103, an information redundancy module 104, a heated surface weight module 105, and a cleanliness module 106.

[0083] The data preprocessing module 101 is used to collect cleanliness data of multiple days to form a cleanliness data set, and preprocess the cleanliness data to obtain preprocessed cleanliness data;

[0084] The calculation weight module 102 is used to calculate the weight of each pre-processed cleanliness data in the pre-processed cleanliness data set;

[0085] The information entropy module 103 is used to calculate the information entropy carried by the cleanliness of the heated surface according to the proportion of the preprocessed cleanliness data in the preprocessed cleanliness data set;

[0086] The information redundancy module 104 is configured to calculate the information redundancy of the cleanliness of each heating surface based on the information entropy carried by the cleanliness of the heating surface;

[0087] The heating surface weight module 105 is used to calculate the weight of each heating surface according to the information redundancy of the cleanliness of each heating surface;

[0088] The cleanliness module 106 is used to calculate the overall cleanliness of the heated surface according to the weights of the various heated surfaces, thereby determining the cleanliness of the heated surface.

[0089] It should be noted that the heating surface cleanliness determination system based on the entropy weight method of the present application corresponds one-to-one to the heating surface cleanliness determination method based on the entropy weight method of the present application. The technical features and beneficial effects described in the above-mentioned embodiment of the heating surface cleanliness determination method based on the entropy weight method are applicable to the embodiment of the heating surface cleanliness determination system based on the entropy weight method. For specific contents, please refer to the description in the embodiment of the method of the present application. No further details will be given here. This is hereby declared.

[0090] In addition, in the implementation of the heating surface cleanliness determination system based on the entropy weight method in the above-mentioned embodiment, the logical division of each program module is only an example. In actual application, the above-mentioned functions can be assigned to different program modules as needed, for example, for the configuration requirements of the corresponding hardware or the convenience of software implementation. That is, the internal structure of the heating surface cleanliness determination system based on the entropy weight method is divided into different program modules to complete all or part of the functions described above.

[0091] See also Figure 3 In another embodiment, an electronic device for implementing a method for determining the cleanliness of a heated surface based on an entropy weight method is provided, comprising a processor 201, a memory 202, and a computer program stored in the memory and configured to be executed by the processor, such as a program 203 for determining the cleanliness of a heated surface based on an entropy weight method; when the processor executes the computer program, the method for determining the cleanliness of a heated surface based on an entropy weight method of any embodiment of the present application is implemented.

[0092] For example, in this embodiment, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present application. The one or more module elements may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program in the device;

[0093] The device may be a computing device such as a desktop computer, a laptop, a PDA, a cloud server, etc. The device may include, but is not limited to, a processor, a memory;

[0094] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the device, connecting various parts of the entire device using various interfaces and lines;

[0095] The memory can be used to store the computer programs and / or modules, and the processor realizes various functions of the device by running or executing the computer programs and / or modules stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; in addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage device.

[0096] Accordingly, the present application also provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for determining the cleanliness of the heated surface based on the entropy weight method as described in any of the above embodiments.

[0097] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0098] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0099] The above embodiments are preferred implementation modes of the present application, but the implementation modes of the present application are not limited to the above embodiments. Any other changes, modifications, substitutions, combinations, and simplifications that do not deviate from the spirit and principles of the present application should be considered as equivalent replacement methods and are included in the scope of protection of the present application.

Claims

1. A method for determining the cleanliness of a heated surface based on an entropy weight method, characterized in that: The steps include: Collecting cleanliness data for multiple days to form a cleanliness data set, and preprocessing the cleanliness data to obtain preprocessed cleanliness data; wherein the cleanliness data is determined by the ratio of the heat absorption when the heating surface is clean to the heat absorption when it is contaminated; the cleanliness data for multiple days is the cleanliness data of all heating surfaces; Calculate the proportion of each pre-processed cleanliness data in the pre-processed cleanliness data set; The information entropy carried by the cleanliness of the heated surface is calculated based on the proportion of the pre-processed cleanliness data in the pre-processed cleanliness data set. The information entropy carried by the cleanliness of the heated surface is calculated using the formula: Wherein, j represents the heating surface; i represents the cleanliness data; p ij It represents the proportion of the i-th cleanliness data of the j-th heated surface in the cleanliness data set; The information redundancy of the cleanliness of each heating surface is calculated based on the information entropy carried by the cleanliness of the heating surface; Calculating the weight of each heating surface according to the information redundancy of the cleanliness of each heating surface; The overall cleanliness of the heating surface is calculated based on the weights of the various heating surfaces, thereby determining the cleanliness of the heating surface.

2. The method for determining the cleanliness of a heated surface based on the entropy weight method according to claim 1, characterized in that: The preprocessing refers to standardizing the cleanliness data.

3. The method for determining the cleanliness of a heated surface based on the entropy weight method according to claim 1, characterized in that: The information redundancy of the cleanliness of the heating surface is calculated as follows: D j =1-E j ,j={1,2,3..m}。 4. The method for determining the cleanliness of a heated surface based on the entropy weight method according to claim 1, characterized in that: The weight of the heating surface is calculated as follows:

5. The method for determining the cleanliness of a heated surface based on the entropy weight method according to claim 1, characterized in that: The overall cleanliness of the heating surface is calculated as follows: Among them, X j is the cleanliness data of the jth heated surface; According to the cleanliness X total The size of the heating surface is used to determine the cleanliness of the heating surface at this time, that is, the cleanliness X total The larger it is, the cleaner the heating surface will be.

6. The heating surface cleanliness determination system based on entropy weight method is characterized by: The method for determining the cleanliness of a heated surface based on the entropy weight method according to any one of claims 1 to 5 comprises a data preprocessing module, a specific gravity calculation module, an information entropy module, an information redundancy module, a heated surface weight module, and a cleanliness module; The data preprocessing module is used to collect cleanliness data from multiple days to form a cleanliness data set, and preprocess the cleanliness data to obtain preprocessed cleanliness data; wherein the cleanliness data is determined by the ratio of the heat absorption when the heating surface is clean to the heat absorption when it is contaminated; the cleanliness data from multiple days is the cleanliness data of all heating surfaces; The calculation weight module is used to calculate the weight of each pre-processed cleanliness data in the pre-processed cleanliness data set; The information entropy module is used to calculate the information entropy carried by the cleanliness of the heated surface according to the proportion of the preprocessed cleanliness data in the preprocessed cleanliness data set; the information entropy carried by the cleanliness of the heated surface is calculated using the formula: Wherein, j represents the heating surface; i represents the cleanliness data; p ij It represents the proportion of the i-th cleanliness data of the j-th heated surface in the cleanliness data set; The information redundancy module is used to calculate the information redundancy of the cleanliness of each heating surface according to the information entropy carried by the cleanliness of the heating surface; The heating surface weight module is used to calculate the weight of each heating surface according to the information redundancy of the cleanliness of each heating surface; The cleanliness module is used to calculate the overall cleanliness of the heated surface according to the weights of the various heated surfaces, thereby determining the cleanliness of the heated surface.

7. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores computer program instructions that can be executed by the at least one processor, and the computer program instructions are executed by the at least one processor so that the at least one processor can execute the method for determining the cleanliness of a heated surface based on the entropy weight method as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing a program, characterized in that: When the program is executed by a processor, the method for determining the cleanliness of a heated surface based on the entropy weight method according to any one of claims 1 to 5 is implemented.

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