CN-122019864-A - Method and system for recommending urban fuel enterprises to LNG receiving station

CN122019864ACN 122019864 ACN122019864 ACN 122019864ACN-122019864-A

Abstract

The invention discloses a method and a system for recommending urban fuel enterprises to an LNG receiving station, wherein the method comprises the steps of generating an evaluation matrix of each bottom level index according to actual values of each bottom level index in the system corresponding to each urban fuel enterprise to be evaluated based on a comprehensive evaluation index system, generating a target index evaluation value of each urban fuel enterprise to be evaluated according to each bottom level index evaluation matrix by utilizing the comprehensive evaluation index system, and optimizing the urban fuel enterprise with the best cooperation relation with the current LNG receiving station according to the target index evaluation value of each urban fuel enterprise to be evaluated. According to the invention, through the comprehensive evaluation index system, the feasibility of urban fuel enterprises in participating in the LNG receiving station business cooperation is screened and evaluated, a reference basis is provided for searching for an advantageous partner of the LNG receiving station, and the utilization rate and the profitability of the LNG receiving station are further improved.

Inventors

QIU WEIWEI
LI WEI
LI CHANGHE
WANG QI
KANG ZETAO

Assignees

中国石油化工股份有限公司
中国石油化工股份有限公司石油勘探开发研究院

Dates

Publication Date: 20260512
Application Date: 20241112

Claims (10)

1. A method of recommending an urban fuel enterprise to an LNG receiving station, comprising: Based on a comprehensive evaluation index system, generating an evaluation matrix of each bottom index according to the actual value of each bottom index in the system corresponding to each urban fuel enterprise to be evaluated; generating a target index evaluation value of each urban fuel enterprise to be evaluated by utilizing the comprehensive evaluation index system according to each bottom index evaluation matrix; and according to the target index evaluation value of each urban fuel enterprise to be evaluated, the urban fuel enterprise with the best cooperation relationship with the current LNG receiving station is preferred.
2. The method according to claim 1, wherein the comprehensive evaluation index system comprises, from top to bottom, a target layer index, intermediate layer indexes affecting the target layer index, and bottom layer indexes under each intermediate layer index, respectively, wherein the step of generating a target index evaluation value of each urban fuel enterprise to be evaluated by using the comprehensive evaluation index system according to each bottom layer index evaluation matrix comprises: generating an intermediate layer index evaluation model of each intermediate layer index by using a weight vector of each intermediate layer index according to the bottom layer index evaluation matrix of each bottom layer index, wherein the weight vector of each intermediate layer index consists of weights of all bottom layer indexes belonging to the same intermediate layer index; And generating a target index evaluation value of each urban fuel enterprise to be evaluated by utilizing a weight vector of the target layer index according to the intermediate layer index evaluation model of each intermediate layer index, wherein the weight vector of the target layer index is formed by the weights of each intermediate layer index.
3. The method according to claim 2, wherein the step of generating the evaluation matrix of each bottom level indicator according to the actual values of each bottom level indicator in the system corresponding to each urban fuel enterprise to be evaluated based on the comprehensive evaluation indicator system comprises: According to actual values of all bottom-layer indexes in a system corresponding to each urban fuel enterprise to be evaluated, an evaluation set is utilized to respectively determine the evaluation grade of each bottom-layer index corresponding to each urban fuel enterprise to be evaluated, wherein the evaluation set comprises an evaluation subset of each bottom-layer index, and the evaluation subset comprises a plurality of bottom-layer index rating grades and index limit values for distinguishing different index grades; Generating a membership matrix of the corresponding bottom index according to the evaluation grade of each bottom index, and taking the membership matrix as a bottom index evaluation matrix.
4. A method according to claim 2 or 3, wherein the weight vector of the intermediate layer indicator and the weight vector of the target layer indicator are obtained by the following step flow: Generating an initial matrix formed by all the indexes to be calculated currently; Assigning importance between any two indexes to be calculated by adopting a 1-9 scale method to obtain a judgment matrix of a corresponding initial matrix; And generating a weight vector containing the weight of each index to be calculated by adopting an analytic hierarchy process based on the judgment matrix.
5. The method according to claim 4, wherein the step of generating a weight vector containing each index weight to be calculated using a hierarchical analysis method based on the judgment matrix comprises: S1, performing row and column normalization processing on the judgment matrix, and performing row addition processing on the judgment matrix subjected to the row normalization processing to obtain a sum vector; s2, normalizing the sum vector, and carrying out consistency check on the normalized sum vector; and S3, when the normalized sum vector passes the consistency check, taking the normalized sum vector as the weight vector, and when the normalized sum vector does not pass the consistency check, repeating S1 until the weight vector is generated after adjusting the data in the judgment matrix by using an expert experience method.
6. The method according to any one of claims 2 to 5, wherein the step of generating the intermediate layer index evaluation model for each intermediate layer index by using the weight vector for each intermediate layer index according to the bottom layer index evaluation matrix for each bottom layer index comprises: Generating an evaluation initial matrix of each middle layer index according to the bottom layer index evaluation matrix of each bottom layer index; And carrying out vector multiplication operation on the evaluation initial matrix of each intermediate layer index and the weight vector of the corresponding intermediate layer index respectively to obtain an intermediate layer index evaluation model of each intermediate layer index.
7. The method according to any one of claims 2 to 6, wherein the step of generating the target index evaluation value of each urban fuel enterprise to be evaluated by using the weight vector of the target layer index according to the intermediate layer index evaluation model of each intermediate layer index comprises: Constructing an initial evaluation matrix of the target layer index according to the intermediate layer index evaluation model of each intermediate layer index; and carrying out vector multiplication operation on the initial evaluation matrix of the target layer index and the weight vector of the target layer index to generate a target index evaluation value of the urban fuel enterprise to be evaluated currently.
8. The method of any one of claim 2 to 7, wherein the middle tier indicator comprises enterprise category, enterprise scale, enterprise structure, enterprise benefit, and enterprise LNG business requirement, wherein, The underlying indicators under the enterprise category include, but are not limited to, enterprise properties and enterprise qualification; the bottom level indicators at the enterprise scale include, but are not limited to, total amount of assets, gas supply, pipe network length, total number of users, and number of incumbent staff; The bottom layer indexes under the enterprise structure include, but are not limited to, non-residential gas specific gravity and supply and sales gap rate; The underlying indicators at the enterprise benefit include, but are not limited to, total asset profit margin, net asset profit margin, asset liability rate, market share, revenue acquisition rate, net profit growth rate, and user growth rate; the underlying indicators under the enterprise LNG service requirements include, but are not limited to, import requirements and existing LNG receiving capabilities.
9. A computer readable storage medium storing computer executable instructions which when executed by a processor implement the steps of the method of any one of claims 1 to 8.
10. A system for recommending an urban fuel enterprise to an LNG receiving station, comprising: The stratum index evaluation module is configured to generate an evaluation matrix of each bottom index according to the actual value of each bottom index in the system corresponding to each urban fuel enterprise to be evaluated based on the comprehensive evaluation index system; the comprehensive evaluation result generation module is configured to generate a target index evaluation value of each urban fuel enterprise to be evaluated by utilizing the comprehensive evaluation index system according to each bottom index evaluation matrix; And the recommendation result generation module is configured to select the urban fuel enterprises with the best cooperation relationship with the current LNG receiving station according to the target index evaluation value of each urban fuel enterprise to be evaluated.

Description

Method and system for recommending urban fuel enterprises to LNG receiving station Technical Field The invention relates to the technical field of natural gas, in particular to a method and a system for recommending urban fuel enterprises to an LNG receiving station. Background The LNG receiving station stock right party cooperates with the urban gas enterprises, so that the asset and resource advantages of the two parties in the respective fields are fully exerted, the two parties are strongly combined, and win-win is realized. The LNG receiving station can release investment pressure in terms of project construction by transferring the stock right, and the stock right can be lightly assembled and put into an array, and in the operation stage, the load rate of the existing facilities can be improved, the profitability can be improved, or the LNG receiving station can be provided with the air supply scale or share each year, the market can be locked, or the stock right of the LNG receiving station participates in the urban fuel gas construction and operation, and an integrated industrial chain is formed for effective extension. Meanwhile, urban gas enterprises can charge air source supply and storage, and the signing of overseas direct gas source is promoted by obtaining and ensuring the use right of the medium-long-term LNG receiving station, so that the stability of air source supply is improved, the purchasing cost of the air source is reduced, and the emergency supply protection and safety peak regulation capacity is improved. At present, the evaluation of urban gas enterprises mainly aims at the universal index, is scattered and has weak pertinence, and the proposed evaluation system aims at enabling the urban gas enterprises to find the positions of the urban gas enterprises in the industry. The existing evaluation method comprises a profitability evaluation system of the urban gas enterprise constructed by taking the profitability, the profitability stability and the profitability growth into consideration, and a risk factor existing in the urban gas supply and demand process is analyzed from multiple aspects according to the urban gas enterprise supply business process, so that a risk early warning mechanism is constructed. In summary, the existing method is aimed at comprehensive indexes and influencing factors of urban gas enterprises, and the lack of relevant index analysis on whether the liquefied natural gas service has cooperative potential has limitation. Disclosure of Invention The invention aims to provide a determination scheme for realizing the business cooperation feasibility of an urban fuel enterprise in an LNG receiving station through a comprehensive evaluation index system so as to solve the problem that the prior art lacks of the limitation of the analysis of relevant indexes for whether natural gas business has cooperation potential or not. In order to solve the technical problems, the embodiment of the invention provides a method for recommending urban fuel enterprises to an LNG receiving station, which comprises the steps of generating an evaluation matrix of each bottom level index according to the actual value of each bottom level index in the system corresponding to each urban fuel enterprise to be evaluated based on a comprehensive evaluation index system, generating a target index evaluation value of each urban fuel enterprise to be evaluated according to each bottom level index evaluation matrix by utilizing the comprehensive evaluation index system, and optimizing the urban fuel enterprise with the best cooperation relation with the current LNG receiving station according to the target index evaluation value of each urban fuel enterprise to be evaluated. Preferably, the comprehensive evaluation index system comprises a target layer index, intermediate layer indexes influencing the target layer index and bottom layer indexes under each intermediate layer index from top to bottom, wherein in the step of generating a target index evaluation value of each urban fuel enterprise to be evaluated by utilizing the comprehensive evaluation index system according to each bottom layer index evaluation matrix, an intermediate layer index evaluation model of each intermediate layer index is generated by utilizing a weight vector of each intermediate layer index according to the bottom layer index evaluation matrix of each bottom layer index, wherein the weight vector of each intermediate layer index consists of weights of all bottom layer indexes under the same intermediate layer index, and the target index evaluation value of each urban fuel enterprise to be evaluated is generated by utilizing the weight vector of each intermediate layer index according to the intermediate layer index evaluation model of each intermediate layer index, wherein the weight vector of each target layer index consists of the weights of all intermediate layer indexes. Preferably, the step of generating an ev