Method and system for selecting closed gathering and transportation process of united station and electronic equipment

Abstract

The invention belongs to the field of oil and gas gathering and transportation of oil fields, particularly relates to a method and system for selecting a combined station closed gathering and transportation process, electronic equipment and a storage medium, and aims to solve the problem that a scientific, effective and reasonable method capable of selecting the combined station closed gathering and transportation process does not exist at present. The method comprises the following steps: constructing an original evaluation matrix based on the index value of each influence index, and further processing to obtain a standard matrix; performing pairwise comparison on the influence degree of each influence index on the closed gathering and transportation of the united station to construct a judgment matrix; obtaining a maximum characteristic value of the judgment matrix and a normalized characteristic vector corresponding to the maximum characteristic value based on the judgment matrix; constructing a weighted data matrix based on the standard matrix and the normalized feature vector; and calculating the relative proximity of each point in the weighted data matrix based on the positive and negative ideal samples, and selecting the index value corresponding to the point with the maximum relative proximity as a selection process. The method has systematicness, and can quickly and intuitively judge which process is more reasonable and applicable.

Description

Technical Field

[0001] This invention belongs to the field of oilfield oil and gas gathering and transportation, and specifically relates to a method, system, electronic equipment and storage medium for selecting closed gathering and transportation processes in a combined station. Background Technology

[0002] Oilfield joint stations often use domed tanks for crude oil dehydration and storage. During operation, some dissolved gases evaporate and rise to the top of the tank. With temperature and liquid level changes, the breather valves are essentially continuously open, resulting in significant oil and gas losses and posing environmental hazards. According to the "Emission Standard of Air Pollutants for Onshore Oil and Gas Extraction Industry" (GB39728-2020), fixed-roof tanks storing materials with a true vapor pressure greater than 5.2 kPa require certain waste gas collection measures. Most domed tanks require volatile organic compound (VOC) emission control. Therefore, it is necessary to carry out closed-loop gathering and transportation upgrades, determining the optimal process flow based on different current conditions to achieve VOC compliance. The technical approaches to the closed-loop gathering and transportation system upgrade of joint stations mainly fall into three categories. The first is through process modification, adopting a fully enclosed dehydration process to completely eliminate storage tanks. This method effectively solves the volatile organic compound (VOC) emission problem, but it requires consideration of the overall oil, gas, and water treatment system within the joint station. While meeting crude oil dehydration requirements, it also needs to accommodate emergency discharge and production regulation. This method involves significant construction work and substantial adjustments to the station's process flow. The second approach involves modifying the storage tank structure, replacing fixed roofs with internal floating roofs. However, this involves a large amount of work and a long cycle, impacting normal station production operations during the modification period. It also cannot simultaneously address the VOC treatment needs of other systems such as oil unloading. The third approach involves supporting closed-loop processes for the storage tanks, such as large tank venting. Since these are individual units, the adjustments to the existing process flow are relatively small, but they increase management nodes and the handling of recovered gases. Each of the main technical approaches to the closed-loop gathering and transportation system upgrade of joint stations has its advantages and disadvantages, requiring evaluation and selection based on various factors, considering different production and operating conditions and the current process status of the joint station. In the implementation of existing technical solutions, closed-loop gathering and transportation processes are limited to simple comparative analysis. Most existing gathering and transportation processes are designed for individual units. The choice of which closed-loop gathering and transportation process to adopt is often based on human analysis and judgment, and generally only operating costs and energy consumption are considered. This lacks a systematic approach and makes it impossible to quickly and intuitively determine which process is more reasonable and applicable.

[0003] However, there is currently no scientific, effective, and reasonable method for selecting the closed gathering and transportation process for combined stations. Summary of the Invention

[0004] To address the aforementioned problems in the prior art, namely the lack of an effective method for selecting a closed-loop gathering and transportation process at a combined station, this invention provides a method for selecting a closed-loop gathering and transportation process at a combined station, the method comprising:

[0005] Obtain the various influencing indicators of the closed gathering and transportation process at the joint station, and obtain the index values ​​of each influencing indicator;

[0006] The original evaluation matrix is ​​constructed based on the index values ​​of each influencing indicator; each index value of each influencing indicator is a row of the original evaluation matrix; the index values ​​of the original evaluation matrix are processed to be homogenized and dimensionless to obtain the standard matrix.

[0007] The influence of each influencing indicator on the closed gathering and transportation process of the joint station is compared pairwise to obtain the scale value of the influence of each influencing indicator relative to the influence of each other, and a judgment matrix is ​​constructed based on each scale value.

[0008] The judgment matrix is ​​used to obtain the largest eigenvalue and the normalized eigenvector corresponding to the largest eigenvalue. The consistency ratio of the judgment matrix is ​​calculated based on the largest eigenvalue. If the consistency ratio is less than the preset value, the judgment matrix is ​​reconstructed.

[0009] A weighted data matrix is ​​constructed based on the standard matrix and normalized eigenvectors; positive and negative ideal samples are constructed based on the weighted data matrix; the relative proximity of each point in the weighted data matrix based on the positive and negative ideal samples is calculated; and the process selected is the point with the largest relative proximity.

[0010] In a preferred embodiment, the influencing indicators include project investment, total energy consumption, operating costs, risk distribution, and resource recovery.

[0011] In a preferred embodiment, obtaining the standard matrix includes:

[0012] For the index values ​​of negative impact indicators in the original evaluation matrix, the reciprocal is taken.

[0013] For the matrix elements yij in the original evaluation index after reciprocal processing, we have:

[0014] Where yij is the element in the i-th row and j-th column of the original evaluation matrix, i is the row of the matrix, and j is the column of the matrix; i = 1, 2, ..., m; j = 1, 2, ..., n; y′ij is the element in the i-th row and j-th column of the standard matrix.

[0015] In a preferred embodiment, calculating the consistency ratio of the judgment matrix includes: CI = (λmax - n) / (n - 1); CR = CI / RI;

[0016] Where λmax is the largest eigenvalue of the judgment matrix, CI is the consistency ratio, CR is the consistency index, RI is the random consistency index, and is a constant.

[0017] In a preferred embodiment, the method for constructing a weighted data matrix based on a standard matrix and normalized eigenvectors includes: The weighted data matrix is ​​obtained by multiplying the standard matrix by the normalized eigenvector. Specifically, this involves multiplying the a-th value in the first column of the standard matrix by the a-th value in the first row of the normalized eigenvector to obtain the a-th value in the first column of the weighted data matrix, and multiplying the b-th value in the second column of the standard matrix by the b-th value in the first row of the normalized eigenvector to obtain the b-th value in the second column of the weighted data matrix. Here, 'a' represents the index of the value in the first column of the standard matrix, and 'b' represents the index of the value in the second column of the standard matrix.

[0018] In a preferred embodiment, constructing positive and negative ideal samples based on the index values ​​of each influencing index includes:

[0019] Based on the weighted data matrix, the maximum value of each evaluation index is used to construct the positive ideal sample Y. + The negative ideal sample Y is constructed using the minimum value of each evaluation index. - .

[0020] In a preferred embodiment, the method for calculating the relative proximity of points in the weighted data matrix based on positive and negative ideal samples includes:

[0021] For each point in the weighted data matrix, we have:

[0022] Wherein, the relative proximity of point j in Cj is... Let j be the distance from the j-th point to the positive ideal sample. Let be the distance from point j to the negative ideal sample.

[0023] A second aspect of the present invention provides a system for selecting a closed-loop gathering and transportation process at a combined station, the system comprising:

[0024] The data acquisition module is used to acquire various influencing indicators of the closed gathering and transportation process of the joint station and to acquire the index values ​​of each influencing indicator.

[0025] The standard matrix construction module is used to construct the original evaluation matrix based on the index values ​​of each influencing indicator; each index value of each influencing indicator is a row of the original evaluation matrix; the index values ​​of the original evaluation matrix are processed to be homogenized and dimensionless to obtain the standard matrix.

[0026] The judgment matrix construction module is used to compare the influence of each influence index on the closed gathering and transportation process of the joint station pairwise, obtain the scale value of the influence of each influence index relative to the influence of each other, and construct a judgment matrix based on each scale value.

[0027] The consistency ratio calculation module is used to obtain the largest eigenvalue of the judgment matrix and the normalized eigenvector corresponding to the largest eigenvalue based on the judgment matrix; calculate the consistency ratio of the judgment matrix based on the largest eigenvalue; if the consistency ratio is less than a preset value, or if the consistency ratio is not less than the consistency ratio, then reconstruct the judgment matrix.

[0028] The proximity calculation module is used to construct a weighted data matrix based on a standard matrix and normalized eigenvectors; construct positive and negative ideal samples based on the weighted data matrix; calculate the relative proximity of each point in the weighted data matrix based on the positive and negative ideal samples; and select the index value corresponding to the point with the largest relative proximity as the selected process.

[0029] A third aspect of the present invention provides an electronic device comprising: at least one processor; and a memory communicatively connected to at least one of the processors; wherein the memory stores instructions executable by the processor for implementing the aforementioned method for selecting a closed collection and transportation process at a combined station.

[0030] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer instructions for execution by the computer to implement the above-described method for selecting a closed-loop collection and transportation process at a combined station.

[0031] The beneficial effects of this invention are:

[0032] (1) This application establishes a simpler, easier and more reliable judgment method, providing a basis for the selection and judgment of closed gathering and transportation processes in joint stations;

[0033] (2) This application generally considers a variety of factors such as project investment, operating costs, risk distribution and resource recovery, and is systematic, which can quickly and intuitively determine which process is more reasonable and applicable;

[0034] (3) The method for selecting closed gathering and transportation technology in the joint station of this application is to construct a closed gathering and transportation technology evaluation system for the joint station, calculate relevant indicators, establish an evaluation matrix and a judgment matrix based on the evaluation indicators, and calculate the relative proximity of different technologies. Based on the different relative proximity, the method for selecting closed gathering and transportation technology in the joint station is obtained. Attached Figure Description

[0035] Other features, objects, and advantages of this application will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0036] Figure 1 This is a schematic diagram of a method for selecting a closed-loop gathering and transportation process at a combined station according to an embodiment of the present invention;

[0037] Figure 2 This is a schematic diagram of the structure of a computer system used to implement the methods, systems, and devices of this application. Detailed Implementation

[0038] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. Furthermore, it should be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0039] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0040] This invention provides a method for selecting a closed-loop gathering and transportation process at a combined station, the method comprising:

[0041] Obtain the various influencing indicators of the closed gathering and transportation process at the joint station, and obtain the index values ​​of each influencing indicator;

[0042] The original evaluation matrix is ​​constructed based on the index values ​​of each influencing indicator; each index value of each influencing indicator is a row of the original evaluation matrix; the index values ​​of the original evaluation matrix are processed to be homogenized and dimensionless to obtain the standard matrix.

[0043] The influence of each influencing indicator on the closed gathering and transportation process of the joint station is compared pairwise to obtain the scale value of the influence of each influencing indicator relative to the influence of each other, and a judgment matrix is ​​constructed based on each scale value.

[0044] The judgment matrix is ​​used to obtain the largest eigenvalue and the normalized eigenvector corresponding to the largest eigenvalue. The consistency ratio of the judgment matrix is ​​calculated based on the largest eigenvalue. If the consistency ratio is less than the preset value, the judgment matrix is ​​reconstructed.

[0045] A weighted data matrix is ​​constructed based on the standard matrix and normalized eigenvectors; positive and negative ideal samples are constructed based on the weighted data matrix; the relative closeness of each point in the weighted data matrix based on the positive and negative ideal samples is calculated; and the index value corresponding to the point with the largest relative closeness is selected as the process selection.

[0046] To more clearly explain the method for selecting the closed-loop gathering and transportation process of the combined station according to the present invention, the following is in conjunction with... Figure 1 The steps in the embodiments of the present invention will be described in detail below.

[0047] The method for selecting a closed-loop gathering and transportation process at a combined station according to the first embodiment of the present invention is described in detail below:

[0048] Obtain the various influencing indicators of the closed gathering and transportation process at the joint station, and obtain the index values ​​of each influencing indicator;

[0049] In this embodiment, the influencing indicators include project investment, total energy consumption, operating costs, risk distribution, and resource recovery.

[0050] The original evaluation matrix is ​​constructed based on the index values ​​of each influencing indicator; each index value of each influencing indicator is a row of the original evaluation matrix; the index values ​​of the original evaluation matrix are processed to be homogenized and dimensionless to obtain the standard matrix.

[0051] In this embodiment, based on the process system to be evaluated, influencing indicators and indicator values ​​are selected, and an original evaluation matrix (y) is constructed. ij ) m×n Where m is the number of influencing indicators, and n is the number of values ​​for each indicator within each influencing indicator. If there are negative influencing indicators, i.e., indicators where a smaller value indicates a better situation, then indicator homogenization processing is required.

[0052] The homogenization process specifically includes: taking the reciprocal of the index values ​​of negative influence indicators in the original evaluation matrix;

[0053] For the matrix elements yij in the original evaluation index after reciprocal processing, we have:

[0054] Where yij is the element in the i-th row and j-th column of the original evaluation matrix, i is the row of the matrix, j is the column of the matrix; i = 1, 2, ..., m; j = 1, 2, ..., n; y'"ij" is the element in the i-th row and j-th column of the standard matrix.

[0055] The influence of each influencing indicator on the closed gathering and transportation process of the joint station is compared pairwise to obtain the scale value of the influence of each influencing indicator relative to the influence of each other, and a judgment matrix is ​​constructed based on each scale value.

[0056] In this embodiment, constructing the judgment matrix specifically includes:

[0057] Based on the magnitude of the influence of the indicators on process selection, pairwise comparisons are performed (comparison scales are shown in Table 1 below), constructing a judgment matrix S, S = (uij)m×m, where m is the number of indicators. The maximum eigenvalue λmax of the judgment matrix S is calculated, along with the corresponding normalized eigenvector A. Eigenvector A represents the importance ranking of each evaluation factor, i.e., the weight allocation. The comparison scale values ​​are shown in Table 1. Table 1

[0058] Based on the five indicators in the example and the comparison scale value table, a pairwise comparison matrix construction table can be formed as shown in Table 2. Table 2

[0059] Explanation of RI: RI is the random consistency index. Since Q = 5, RI = 1.12. The values ​​are shown in Table 3.

[0060] The values ​​for the random consistency index are shown in Table 3; the random consistency index is related to Q. Table 3

[0061] The judgment matrix is ​​used to obtain the largest eigenvalue and the normalized eigenvector corresponding to the largest eigenvalue. The consistency ratio of the judgment matrix is ​​calculated based on the largest eigenvalue. If the consistency ratio is less than the preset value, the judgment matrix is ​​reconstructed.

[0062] In this embodiment, the consistency ratio CR of the judgment matrix is ​​determined. When the consistency ratio is less than a preset value, which is generally 0.1 and may be adjusted according to the actual situation, the consistency verification of the normalized feature vector is determined to be passed, and the weight allocation is considered to be reasonable. That is, each value in the normalized feature vector is determined as the corresponding index weight. Otherwise, the evaluation elements of the judgment matrix need to be adjusted and the weight values ​​need to be redistributed.

[0063] In this embodiment, calculating the consistency ratio of the judgment matrix includes: CI = (λmax - Q) / (Q - 1); CR = CI / RI;

[0064] Where λmax is the largest eigenvalue of the judgment matrix, CI is the consistency ratio, CR is the consistency index, RI is the random consistency index, and is a constant.

[0065] A weighted data matrix is ​​constructed based on the standard matrix and normalized eigenvectors; positive and negative ideal samples are constructed based on the weighted data matrix; the relative closeness of each point in the weighted data matrix based on the positive and negative ideal samples is calculated; and the index value corresponding to the point with the largest relative closeness is selected as the process selection.

[0066] In this embodiment, the method for constructing a weighted data matrix based on a standard matrix and a normalized eigenvector includes: multiplying the standard matrix by the normalized eigenvector to obtain the weighted data matrix. Specifically, multiplying the a-th value in the first column of the standard matrix by the a-th value in the first row of the normalized eigenvector yields the a-th value in the first column of the weighted data matrix; multiplying the b-th value in the second column of the standard matrix by the b-th value in the first row of the normalized eigenvector yields the b-th value in the second column of the weighted data matrix; where a is the index of the value in the first column of the standard matrix, and b is the index of the value in the second column of the standard matrix.

[0067] In this embodiment, constructing positive and negative ideal samples based on the index values ​​of each influencing indicator includes:

[0068] Based on the weighted data matrix, the maximum value of each evaluation index is used to construct the positive ideal sample Y+, and the minimum value of each evaluation index is used to construct the negative ideal sample Y-.

[0069] In this embodiment, the method for calculating the relative proximity of each point in the weighted data matrix based on positive and negative ideal samples includes:

[0070] For each point in the weighted data matrix, we have:

[0071] Wherein, the relative proximity of point j in Cj is... Let j be the distance from the j-th point to the positive ideal sample. Let be the distance from point j to the negative ideal sample.

[0072] To further illustrate the method for selecting the closed-loop gathering and transportation process at the combined station according to embodiments of the present invention, an example is provided, which is as follows:

[0073] The following example further illustrates how to determine the optimization and reorganization plan for the oilfield gathering and transportation system pipeline network. The specific process is as follows: Figure 1 As shown, the specific implementation method is as follows.

[0074] S1: Establish an evaluation system for the closed-loop gathering and transportation process of the joint station, obtain key influencing indicators, and calculate indicator values.

[0075] Based on the production situation of a certain joint station, two options can be selected for the closed-loop gathering and transportation process: one is to implement process modification and adopt a fully closed dehydration process to completely eliminate the storage tank; the other is to retain the original process and equip it with a large tank air extraction device. The evaluation index of the closed-loop gathering and transportation process of a certain joint station is shown in Table 4. Table 4

[0076] S2: Construct an evaluation matrix based on the evaluation indicators, and obtain a standard evaluation matrix through homogenization and dimensionless processing.

[0077] (1) Generate the evaluation matrix y based on the indicator data in Table 1, and construct the original evaluation matrix Y = (yij). 5×2 .

[0078] (2) Except for the resource recovery amount, which is a positive indicator, meaning the higher the indicator value, the better, all other indicators are negative indicators, meaning the lower the indicator value, the better. Therefore, all negative indicators are positiveized. Based on this, all indicators are dimensionless and a standard matrix Y′ is established.

[0079] S3: Construct a judgment matrix, determine the indicator weight vector, and combine it with the standard evaluation matrix to obtain a weighted data matrix;

[0080] (1) Construct the judgment matrix S, and calculate the maximum eigenvalue λmax of S as 5.2, and its corresponding normalized eigenvector A = (0.59, 0.21, 0.10, 0.06, ...). 0.04).

[0081] (2) Perform a consistency test on the judgment matrix. The consistency index CI is 0.05 and RI is 1.12. Then the random consistency ratio CR = CI / RI = 0.0446 < 0.10 can be obtained, which indicates that the consistency verification of the judgment matrix is ​​passed, that is, the weight allocation is reasonable.

[0082] (3) Construct a weighted data matrix Y″ based on the calculated weights.

[0083] S4: Calculate and rank the relative similarity of each evaluated object, and obtain the optimal solution based on the comprehensive evaluation results.

[0084] (1) Calculate the ideal sample Y using the weighted data matrix. + and negative ideal sample Y - :

[0085] Y + = (0.5657, 0.1892, 0.0419, 0.0554, 0.0302);

[0086] Y - = (0.1674, 0.0912, 0.0908, 0.0231, 0.0262);

[0087] (2) Calculate the distance D from the sample points of the weighted data matrix to the optimal point. + j And the distance D from the sample point to the worst point - j .

[0088] D + j = (0.4013, 0.1032);

[0089] D - j = (0.1032, 0.4013);

[0090] (9) Calculate the relative proximity C j According to the relative proximity C j The size of each evaluation object is used to rank them, C j The larger the value, the smaller the relative distance between the evaluated object and the ideal sample, and the better the evaluation result. Therefore, C... j Option 2, which has the largest approximation value, is the optimal option. The similarity between the different options is shown in Table 5. Table 5 Solution Name <![CDATA[C j ]]> Sort Option 1 0.2046 2 Option 2 0.7954 1

[0091] Although the steps in the above embodiments are described in the above order, those skilled in the art will understand that in order to achieve the effect of this embodiment, different steps do not need to be executed in such an order. They can be executed simultaneously (in parallel) or in a reverse order. These simple variations are all within the protection scope of this invention.

[0092] The system for selecting a closed-loop gathering and transportation process at a combined station according to a second embodiment of the present invention is characterized in that the system comprises:

[0093] The data acquisition module is used to acquire various influencing indicators of the closed gathering and transportation process of the joint station and to acquire the index values ​​of each influencing indicator.

[0094] The standard matrix construction module is used to construct the original evaluation matrix based on the index values ​​of each influencing indicator; each index value of each influencing indicator is a row of the original evaluation matrix; the index values ​​of the original evaluation matrix are processed to be homogenized and dimensionless to obtain the standard matrix.

[0095] The judgment matrix construction module is used to compare the influence of each influence index on the closed gathering and transportation process of the joint station pairwise, obtain the scale value of the influence of each influence index relative to the influence of each other, and construct a judgment matrix based on each scale value.

[0096] The consistency ratio calculation module is used to obtain the largest eigenvalue of the judgment matrix and the normalized eigenvector corresponding to the largest eigenvalue based on the judgment matrix; calculate the consistency ratio of the judgment matrix based on the largest eigenvalue; if the consistency ratio is less than a preset value, or if the consistency ratio is not less than the consistency ratio, then reconstruct the judgment matrix.

[0097] The proximity calculation module is used to construct a weighted data matrix based on a standard matrix and normalized eigenvectors; construct positive and negative ideal samples based on the weighted data matrix; calculate the relative proximity of each point in the weighted data matrix based on the positive and negative ideal samples; and select the index value corresponding to the point with the largest relative proximity as the selected process.

[0098] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the system described above can be found in the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0099] It should be noted that the system for selecting the closed-loop gathering and transportation process at the joint station provided in the above embodiments is only an example of the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be merged into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the various modules or steps and are not considered as an improper limitation of the present invention.

[0100] An electronic device according to a third embodiment of the present invention includes:

[0101] At least one processor; and

[0102] A memory communicatively connected to at least one of the processors; wherein,

[0103] The memory stores instructions that can be executed by the processor to implement the above-described method for selecting a closed-loop gathering and transportation process at a combined station.

[0104] A computer-readable storage medium according to a fourth embodiment of the present invention stores computer instructions, which are executed by the computer to implement the above-described method for selecting a closed-loop collection and transportation process at a combined station.

[0105] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process and related descriptions of the storage device and processing device described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0106] Those skilled in the art will recognize that the modules and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. The programs corresponding to the software modules and method steps can be placed in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium known in the art. To clearly illustrate the interchangeability of electronic hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in electronic 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 the invention.

[0107] The following is for reference. Figure 2 It shows a schematic diagram of the structure of a computer system for implementing the methods, systems, and devices of this application. Figure 2 The server shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0108] like Figure 2As shown, the computer system includes a Central Processing Unit (CPU) 601, which can perform various appropriate actions and processes based on programs stored in Read Only Memory (ROM) 602 or programs loaded from storage section 608 into Random Access Memory (RAM) 603. The RAM 603 also stores various programs and data required for system operation. The CPU 601, ROM 602, and RAM 603 are interconnected via a bus 604. An Input / Output (I / O) interface 605 is also connected to the bus 604.

[0109] The following components are connected to I / O interface 605: an input section 606 including a keyboard, mouse, etc.; an output section 607 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to I / O interface 605 as needed. A removable medium 611, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 610 as needed so that computer programs read from it can be installed into storage section 608 as needed.

[0110] Specifically, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 609, and / or installed from removable medium 611. When the computer program is executed by central processing unit (CPU) 601, it performs the functions defined in the methods of this application. It should be noted that the computer-readable medium described above in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on a computer-readable medium can be transmitted using any suitable medium, including but not limited to: wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0111] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0112] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0113] The terms “first”, “second”, etc., are used to distinguish similar objects, not to describe or indicate a specific order or sequence.

[0114] The term "comprising" or any other similar term is intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus / device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent in such process, method, article, or apparatus / device.

[0115] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for selecting a closed-loop gathering and transportation process at a combined station, characterized in that, The method includes: Obtain the various influencing indicators of the closed gathering and transportation process at the joint station, and obtain the index values ​​of each influencing indicator; The original evaluation matrix is ​​constructed based on the index values ​​of each influencing indicator; each index value of each influencing indicator is a row of the original evaluation matrix; the index values ​​of the original evaluation matrix are processed to be homogenized and dimensionless to obtain the standard matrix. The influence of each influencing indicator on the closed gathering and transportation process of the joint station is compared pairwise to obtain the scale value of the influence of each influencing indicator relative to the influence of each other, and a judgment matrix is ​​constructed based on each scale value. The judgment matrix is ​​used to obtain the largest eigenvalue and the normalized eigenvector corresponding to the largest eigenvalue. The consistency ratio of the judgment matrix is ​​calculated based on the largest eigenvalue. If the consistency ratio is less than the preset value, the judgment matrix is ​​reconstructed. A weighted data matrix is ​​constructed based on the standard matrix and normalized eigenvectors; positive and negative ideal samples are constructed based on the weighted data matrix; the relative closeness of each point in the weighted data matrix based on the positive and negative ideal samples is calculated; and the index value corresponding to the point with the largest relative closeness is selected as the process selection.

2. The method for selecting a closed-loop gathering and transportation process at a combined station according to claim 1, characterized in that, The aforementioned influencing indicators include project investment, total energy consumption, operating costs, risk distribution, and resource recovery.

3. The method for selecting a closed-loop gathering and transportation process at a combined station according to claim 2, characterized in that, The standard matrix obtained includes: For the index values ​​of negative impact indicators in the original evaluation matrix, the reciprocal is taken. For the matrix elements yij in the original evaluation index after reciprocal processing, we have: Where yij is the element in the i-th row and j-th column of the original evaluation matrix, i is the row of the matrix, and j is the column of the matrix; i = 1, 2, ..., m; j = 1, 2, ..., n; y′ij is the element in the i-th row and j-th column of the standard matrix.

4. The method for selecting a closed-loop gathering and transportation process at a combined station according to claim 3, characterized in that, The consistency ratio of the judgment matrix is ​​calculated by including: CI = (λmax - Q) / (nQ); CR = CI / RI; Where λmax is the largest eigenvalue of the judgment matrix, CI is the consistency ratio, CR is the consistency index, RI is the random consistency index, is a constant, and Q is the number of diagonal elements of the judgment matrix.

5. The method for selecting a closed-loop gathering and transportation process at a combined station according to claim 4, characterized in that, Methods for constructing weighted data matrices based on standard matrices and normalized eigenvectors include: The weighted data matrix is ​​obtained by multiplying the standard matrix by the normalized eigenvector. Specifically, this involves multiplying the a-th value in the first column of the standard matrix by the a-th value in the first row of the normalized eigenvector to obtain the a-th value in the first column of the weighted data matrix, and multiplying the b-th value in the second column of the standard matrix by the b-th value in the first row of the normalized eigenvector to obtain the b-th value in the second column of the weighted data matrix. Here, a represents the index of the value in the first column of the standard matrix, and b represents the index of the value in the second column of the standard matrix.

6. The method for selecting a closed-loop gathering and transportation process at a combined station according to claim 5, characterized in that, The construction of positive and negative ideal samples based on the index values ​​of each influencing indicator includes: Based on the weighted data matrix, the maximum value of each evaluation index is used to construct the positive ideal sample Y. + The negative ideal sample Y is constructed using the minimum value of each evaluation index. - .

7. The method for selecting a closed-loop gathering and transportation process at a combined station according to claim 6, characterized in that, Methods for calculating the relative proximity of points in a weighted data matrix based on positive and negative ideal samples include: For each point in the weighted data matrix, we have: Wherein, the relative proximity of point j in Cj is... Let j be the distance from the j-th point to the positive ideal sample. Let be the distance from point j to the negative ideal sample.

8. A system for selecting a closed-loop gathering and transportation process at a combined station, characterized in that, The system includes: The data acquisition module is used to acquire various influencing indicators of the closed gathering and transportation process of the joint station and to acquire the index values ​​of each influencing indicator. The standard matrix construction module is used to construct the original evaluation matrix based on the index values ​​of each influencing indicator; each index value of each influencing indicator is a row of the original evaluation matrix; the index values ​​of the original evaluation matrix are processed to be homogenized and dimensionless to obtain the standard matrix. The judgment matrix construction module is used to compare the influence of each influence index on the closed gathering and transportation process of the joint station pairwise, obtain the scale value of the influence of each influence index relative to the influence of each other, and construct a judgment matrix based on each scale value. The consistency ratio calculation module is used to obtain the largest eigenvalue of the judgment matrix and the normalized eigenvector corresponding to the largest eigenvalue based on the judgment matrix; calculate the consistency ratio of the judgment matrix based on the largest eigenvalue; if the consistency ratio is less than a preset value, or if the consistency ratio is not less than the consistency ratio, then reconstruct the judgment matrix. The proximity calculation module is used to construct a weighted data matrix based on a standard matrix and normalized eigenvectors; construct positive and negative ideal samples based on the weighted data matrix; calculate the relative proximity of each point in the weighted data matrix based on the positive and negative ideal samples; and select the index value corresponding to the point with the largest relative proximity as the selected process.

9. An electronic device, characterized in that, include: At least one processor; And a memory communicatively connected to at least one of the processors; wherein the memory stores instructions executable by the processor to implement the method for selecting a closed collection and transportation process at a combined station as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that are executed by the computer to implement the method for selecting a closed gathering and transportation process at a combined station as described in any one of claims 1-7.

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