CN108776866B - Adaptability evaluation method for crude oil storage and transportation system of oil field and mine field - Google Patents
Adaptability evaluation method for crude oil storage and transportation system of oil field and mine field Download PDFInfo
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Abstract
The invention relates to an adaptability evaluation method of an oil field and mine site crude oil storage and transportation system, which comprises the following steps: establishing a basic database and a production operation database; constructing an evaluation index system consisting of a plurality of evaluation indexes, wherein the evaluation index system is a three-layer index system; determining the weight of each evaluation index in an evaluation index system; constructing an evaluation grade standard to form a comment set of fuzzy comprehensive evaluation; determining the qualitative evaluation index in the three-level evaluation indexes by adopting a qualitative evaluation methodmMembership of individual fitness levels; reading the fuzzy relation matrix to obtain the membership of each secondary evaluation index to each adaptability grade, and constructing a corresponding fuzzy relation matrix; and reading the fuzzy relation matrix to obtain the membership degree of the first-level index to each adaptability grade, and determining the final grade of the adaptability level of the crude oil storage and transportation system in the mine. The method can better represent the specified fuzzy gradual change characteristics among different adaptability levels, so that the evaluation result is more in line with objective practice.
Description
Technical Field
The invention relates to an oil field and mine site crude oil storage and transportation system, in particular to an adaptability evaluation method of the oil field and mine site crude oil storage and transportation system.
Background
The storage and transportation system for crude oil in a mine field is a central key link for connecting oil field exploitation and downstream petroleum refining, and the primary task of meeting the requirements of oil field crude oil exploitation, storage, metering and external transportation is the storage and transportation system. However, as the exploitation of the oil field goes deep, the yield of crude oil is reduced, so that the adaptability of the crude oil storage and transportation system in the mine field to the production of the oil field is reduced, and the safety and the economical efficiency of the oil storage and transportation scheduling process of the storage and transportation system are obviously reduced. Therefore, the adaptability level of the crude oil storage and transportation system in the mine to oil field production needs to be determined, the operation state of the crude oil storage and transportation system in the mine is further accurately grasped, and a foundation is laid for further establishing measures for improving the adaptability of the crude oil storage and transportation system in the mine.
At present, research mainly focuses on analysis and evaluation of energy utilization level and energy utilization rate of crude oil depots in oil fields and mines or researches on energy utilization level of long-distance oil pipelines, a certain analysis method is proposed in the research to obtain relevant knowledge, and partial research results are researches on safety of oil pipelines and form methods for evaluating safety of the oil pipelines. However, at present, no research is provided for the adaptability level of a crude oil storage and transportation system in an oil field and a mine field, and an effective method for evaluating the adaptability level is further lacked. In addition, the crude oil storage and transportation system of the oil field and the mine site is a large and complex production system. Generally speaking, a crude oil storage and transportation system in a mine site consists of a plurality of large crude oil depots, oil pipelines and a large amount of auxiliary production equipment and facilities, and due to the fact that the system is large and complex, a general evaluation method cannot comprehensively and objectively evaluate the adaptability of the system.
Therefore, a scientific method capable of evaluating the adaptability level of the crude oil storage and transportation system in the oil field and the mine field is urgently needed at present, so that the adaptability level of the crude oil storage and transportation system to the production of the oil field and a downstream refinery can be comprehensively and objectively evaluated, and a foundation is laid for further making the optimized modification measures of the crude oil storage and transportation system.
Disclosure of Invention
The invention aims to provide an adaptability evaluation method for an oil field and mine site crude oil storage and transportation system, which is used for solving the problem that a method capable of comprehensively and objectively evaluating the adaptability level of the oil field and downstream refinery production of the oil field and the mine site crude oil storage and transportation system is lacked in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows: the adaptability evaluation method of the crude oil storage and transportation system in the oil field and mine field is based on a fuzzy comprehensive evaluation method and comprises the following specific steps:
s1, establishing a basic database, wherein the basic database is used for storing basic attribute information of the crude oil storage and transportation system of the oil field and perfecting data information in the basic database by on-site investigation and data collection; the basic database comprises a basic attribute information database of a crude oil storage and transportation system of a mine field, a basic attribute information database of an external transportation pipeline of the crude oil storage and transportation system of the mine field, an attribute information database of an auxiliary production system of the crude oil storage and transportation system of the mine field and a cooperative scheduling attribute information database of the crude oil storage and transportation system of the mine field;
s2, establishing a production operation database, wherein the production operation database is an operation database for storing production operation data information of a crude oil storage and transportation system in an oil field and mine field, and data is acquired through field test or by using field existing equipment to perfect the data information in the database; the operation database comprises a production operation database of a mine field crude oil depot, an export pipeline production operation database of a mine field crude oil storage and transportation system, a production operation database of an auxiliary production system of the mine field crude oil storage and transportation system and a production operation database of a collaborative scheduling process of the mine field crude oil storage and transportation system;
s3, constructing an evaluation index system consisting of a plurality of evaluation indexes according to the structural composition and the realized main functions of the crude oil storage and transportation system of the oil field and the working characteristics of main equipment and facilities in the system; the evaluation index system is a three-layer index system which comprises a three-layer structure, and comprises the following components:
the adaptability of a crude oil storage and transportation system of a mine field is used as a first-level evaluation index;
the adaptability of the crude oil depot system of the mine field is used as a secondary evaluation index;
the adaptability of an external transportation pipeline system of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the adaptability of an auxiliary production system of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the cooperativity of production scheduling of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the adaptability of a process system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a power supply system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a power system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a thermal system of a crude oil depot of a mine field is used as a three-level evaluation index;
taking the safety of an oil collecting and storing subsystem of a crude oil depot of a mine as a third-level evaluation index;
the economy of an oil collecting and storing subsystem of a crude oil depot of a mine field is used as a third-level evaluation index;
the economical efficiency of the external oil transportation subsystem of the crude oil depot of the mine field is used as a third-level evaluation index;
taking the safety of an oil delivery subsystem outside a crude oil depot of a mine as a three-level evaluation index;
the adaptability of an external pipeline process system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an external transmission pipeline power supply system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an external pipeline power system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an export pipeline thermodynamic system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
taking the flowing safety of an external pipeline of a crude oil storage and transportation system of a mine as a three-level evaluation index;
the economical efficiency of the outward pipeline transportation process of the crude oil storage and transportation system of the mine field is used as a third-level evaluation index;
the adaptability of a fire-fighting system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a communication system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a power supply and distribution system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a maintenance and first-aid repair system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
taking the scientificity of the collaborative scheduling decision of the crude oil storage and transportation system of the mine as a third-level evaluation index;
taking the high efficiency of the cooperative scheduling response of the crude oil storage and transportation system of the mine as a third-level evaluation index;
s4, determining the weight of each evaluation index in the evaluation index system according to the content of each evaluation index and the influence degree of each evaluation index on the adaptability of the crude oil storage and transportation system of the mine, and determining the weight of different indexes by adopting a hierarchical analysis method;
s5, establishing an evaluation grade standard to form a comment set of fuzzy comprehensive evaluation; the evaluation grade standard consists of m adaptability grades;
s6, dividing the evaluation index into a qualitative evaluation index and a quantitative evaluation index, and taking the index subjected to subjective judgment as the qualitative evaluation index; directly or indirectly determining the index of the evaluation grade as a quantitative evaluation index through calculation;
s7, determining the membership degree of the qualitative evaluation index in the three-level evaluation indexes to m adaptability levels by adopting a qualitative evaluation method; calculating the membership degree of the quantitative evaluation indexes in the three-level evaluation indexes to m adaptability levels by adopting a quantitative evaluation method; finally, the membership degree of each three-level evaluation index to each adaptability grade is obtained; on the basis, integrating the membership degrees of all three-level evaluation indexes subordinate to the two-level evaluation indexes to construct corresponding fuzzy relation matrixes, wherein each fuzzy relation matrix is used for expressing the membership degree of all three-level evaluation indexes subordinate to each two-level evaluation index to m adaptability levels;
s8, reading the fuzzy relation matrix, multiplying the fuzzy relation matrix by the corresponding index weight to complete primary fuzzy comprehensive evaluation to obtain the membership of each secondary evaluation index to each adaptability grade;
s9, integrating the membership degrees of the secondary evaluation indexes obtained in the step S8, and constructing a corresponding fuzzy relation matrix, wherein the fuzzy relation matrix is used for expressing the membership degrees of all the secondary evaluation indexes subordinate to the primary evaluation indexes to all the adaptability levels;
and S10, reading the fuzzy relation matrix of S9, multiplying the fuzzy relation matrix by corresponding index weight to complete secondary fuzzy comprehensive evaluation to obtain the membership of the primary index to each adaptability grade, and determining the primary evaluation index, namely the final grade of the adaptability level of the crude oil storage and transportation system of the mine field according to a maximum membership principle or a fuzzy vector single-valued method.
In the above scheme, the determining the weights of the different indexes in S4 adopts an analytic hierarchy process specifically as follows:
taking a first-level index of the adaptability evaluation of the crude oil storage and transportation system of the mine as a target layer;
taking a secondary index of the adaptability evaluation of the crude oil storage and transportation system of the mine as a criterion layer;
taking three-level indexes of the adaptability evaluation of the crude oil storage and transportation system of the mine as an index layer;
judging and assigning the relative importance degree of every two factors of all factors at the same level by adopting a 1-9 scale method, integrating the data in a matrix mode to form a judgment matrix, further calculating the characteristic vector and the maximum characteristic root of the matrix, and normalizing the characteristic vector to obtain a weight vector; judging whether consistency conditions are met, if so, obtaining weight vectors of all indexes or factors at the same level; if the consistency condition is not met, reconstructing the judgment matrix, and performing the operation again until the consistency condition is met;
and after the weights of all indexes in the same level in the criterion layer and the index layer are obtained, multiplying the weight of a certain index in the index layer by the weight of the index in the criterion layer to which the index belongs to obtain the weight of each index layer index to the target layer index.
In the above scheme, in S7, a quantitative evaluation method is used to calculate the membership degree of each quantitative evaluation index in the three-level indexes to m adaptive levels:
(1) selecting a plurality of key parameters determining a certain amount of evaluation indexes according to a field regulation and system and an industrial standard, and establishing a specific calculation method of each key parameter;
(2) referring to an industry standard, comprehensively considering the value range of each key parameter, and setting an evaluation criterion, wherein the evaluation criterion comprises different grades, each grade corresponds to a certain value range of each key parameter, and each grade also corresponds to the adaptability grade of the fuzzy comprehensive evaluation;
(3) selecting a plurality of groups of operation working conditions on the basis of a basic attribute information database and a production operation database of a crude oil storage and transportation system of a mine, wherein the selection of the operation working conditions gives consideration to different environmental conditions and different equipment operation states, so that the selected working conditions comprehensively reflect the state of an evaluation index, and calculating the numerical value of each key parameter under the selected working conditions on the basis;
(4) determining the membership degree of the evaluated quantitative evaluation index to each adaptability grade under each group of selected working conditions according to the numerical value of each key parameter under a certain working condition and by contrasting the evaluation criterion;
(5) summarizing the evaluation results under all the operating conditions, and taking the ratio of the number of the working conditions which are subordinate to a certain adaptability grade to the total number of the selected working conditions as the membership degree of the quantitative evaluation index to the adaptability grade;
then, determining the relative weight of different equipment or facilities of the same type by using an analytic hierarchy process, and considering the use frequency of the different equipment or facilities, the processing capacity of the equipment or facilities and whether the equipment or facilities are standby equipment or not when the relative importance degree of every two equipment or facilities is specifically determined;
after the weights of different equipment are determined, calculation is carried out according to the quantitative evaluation index evaluation result of each equipment in combination with the weights, and finally the membership degree of the same quantitative evaluation index capable of comprehensively reflecting the same type of equipment or facilities to each adaptability grade is obtained.
The invention has the following beneficial effects:
(1) the oil field and mine site crude oil storage and transportation system has complex structure composition and various equipment types, the adaptability of the system is determined by various factors, and complex hierarchical relation exists among different factors, so that a complex index system is formed. For such a complex production system, if the factors are considered together and the weight is determined, the weight of each factor is too small, and the judgment is affected because of no effective difference. Therefore, all indexes are required to form a certain hierarchical system, and compared with a general evaluation method, the established adaptability evaluation method of the crude oil storage and transportation system in the mine based on the fuzzy comprehensive evaluation method is more suitable for solving the complex problems of multiple layers and multiple factors, so that the adaptability evaluation method is more suitable for the adaptability evaluation of the crude oil storage and transportation system in the mine.
(2) The adaptability concept of the crude oil storage and transportation system in the mine has strong ambiguity, at present, accurate quantitative evaluation indexes and evaluation benchmarks do not exist, and all factors and indexes influencing the adaptability of the crude oil storage and transportation system in the mine have fuzzy attributes, so that the established adaptability evaluation method based on the fuzzy comprehensive evaluation method has better applicability compared with other methods essentially.
(3) The evaluation result of the established fuzzy comprehensive evaluation method is a fuzzy subset vector, the fuzzy characteristic of an evaluation object can be reflected more truly by taking the vector as the evaluation result than a single numerical value, the provided evaluation information is richer than other methods, the specified fuzzy gradual change characteristic among different adaptability levels can be represented better, and the evaluation result is more in line with objective reality.
(4) In an index system for the adaptability evaluation of the crude oil storage and transportation system in the mine, quantitative evaluation indexes and definite evaluation indexes exist, some indexes depend on more subjective factors, and some indexes depend on more objective factors. The established adaptability evaluation method can be used for comprehensive evaluation of subjective factors and objective factors, and is more suitable for adaptability evaluation of a crude oil storage and transportation system in a mine.
Drawings
FIG. 1 is a system diagram of evaluation indexes constructed in the example of the present invention.
Detailed Description
The invention is further described with reference to the accompanying drawings in which:
the adaptability evaluation method of the crude oil storage and transportation system of the oil field and the mine site is based on a fuzzy comprehensive evaluation method, and comprises the following specific evaluation processes:
s1, establishing a basic database for storing basic attribute information of the crude oil storage and transportation system of the oil field and mine, and perfecting related data information in the database by investigating and collecting data on site. The database can be composed of a plurality of sub databases, including a mine field crude oil storage basic attribute information database, a mine field crude oil storage and transportation system export pipeline basic attribute information database, a mine field crude oil storage and transportation system auxiliary production system attribute information database, a mine field crude oil storage and transportation system cooperative scheduling attribute information database and the like.
The information stored in the basic attribute information database of the crude oil depot in the mine field can comprise: basic attribute information of equipment and facilities such as an oil storage tank, a heating furnace, an oil transfer pump and the like in a crude oil depot of a mine field; basic attribute information of various process pipelines such as oil transportation pipelines, steam pipelines, heat tracing pipelines and the like in a crude oil depot of a mine field; basic attribute information of a power supply and distribution system in a crude oil depot in a mine field; basic attribute information of an external pipeline of a crude oil depot of a mine field; basic attribute information of a maintenance and repair system of a crude oil depot in a mine field; and relevant basic attribute information of the process flow in the crude oil depot of the mine field.
The information stored in the basic attribute information database of the export pipeline of the crude oil storage and transportation system of the mine site can comprise: basic attribute information of the outgoing pipeline line section; basic attribute information of devices and facilities such as oil storage tanks, heating furnaces, oil transfer pumps and the like in different oil transfer stations of the external transfer pipeline; basic attribute information of various process pipelines such as oil transportation pipelines, steam pipelines, heat tracing pipelines and the like in the oil transportation station; basic attribute information of a power supply and distribution system inside the oil transportation station; basic attribute information of an internal process flow of the oil transportation station; and basic attribute information of the export pipeline maintenance and repair system and the like.
The information stored in the basic attribute information database of the auxiliary production system of the crude oil storage and transportation system of the mine site can comprise: basic attribute information of a fire-fighting subsystem of a crude oil storage and transportation system of a mine; basic attribute information of a power supply and distribution subsystem of a crude oil storage and transportation system of a mine; basic attribute information of a communication subsystem of a crude oil storage and transportation system of a mine; and basic attribute information of a maintenance and first-aid repair subsystem of the crude oil storage and transportation system of the mine field.
The information stored in the mine crude oil storage and transportation system collaborative scheduling attribute information database may include: information of a collaborative scheduling scheme of a crude oil storage and transportation system of a mine; the method comprises the steps of (1) cooperatively scheduling operation process information of a crude oil storage and transportation system of a mine; information of a collaborative scheduling method of a crude oil storage and transportation system of a mine; and mine crude oil storage and transportation system cooperative scheduling regulation and regulation information and the like.
S2, establishing a database for storing production operation data information of the crude oil storage and transportation system in the oil field and the mine, and perfecting relevant data information in the database by field test or data acquisition by using existing field equipment. The database can be composed of a plurality of sub-repositories, and comprises a production operation database of a mine field crude oil repository, an export pipeline production operation database of a mine field crude oil storage and transportation system, a production operation database of an auxiliary production system of the mine field crude oil storage and transportation system, a production operation database of a collaborative scheduling process of the mine field crude oil storage and transportation system and the like.
The data information stored in the production operation database of the crude oil depot in the mine field can comprise: production operation data of equipment and facilities such as an oil storage tank, a heating furnace, an oil transfer pump and the like in a crude oil depot of a mine field; production operation data of various process pipelines such as oil transportation pipelines, steam pipelines, heat tracing pipelines and the like in the crude oil depot of the mine field; production operation data of a power supply and distribution system in the crude oil depot of the mine field; production operation data of an external pipeline of the crude oil depot in the mine field; and data information generated in the maintenance and first-aid repair process of the crude oil depot in the mine field.
The data information stored in the export pipeline production operation database of the mine crude oil storage and transportation system can comprise: operating data such as pressure, temperature and output of the output pipeline; the pressure, temperature, output and other data of the oil transportation station of the external pipeline; the operation data of equipment and facilities such as an oil storage tank, a heating furnace, an oil transfer pump and the like in the oil transfer station; production operation data of various process pipelines such as oil transportation pipelines, steam pipelines, heat tracing pipelines and the like in the oil transportation station; production operation data of a power supply and distribution system in the oil transportation station; and related data information of the maintenance and first-aid repair process of the output pipeline and the like.
The data information stored in the production operation database of the auxiliary production system of the mine crude oil storage and transportation system can comprise: data information generated in the working process of a fire-fighting subsystem of a crude oil storage and transportation system of a mine field; data information generated in the working process of the power supply and distribution subsystem of the crude oil storage and transportation system of the mine field; data information generated in the working process of a communication subsystem of a crude oil storage and transportation system of a mine field; and data information generated in the maintenance and first-aid repair process of the crude oil storage and transportation system in the mine field.
The data information stored in the mine crude oil storage and transportation system collaborative scheduling process database can comprise: instruction information of a mine crude oil storage and transportation system collaborative scheduling process; response information of the mine crude oil storage and transportation system in the coordinated scheduling process; and plan or flow information executed by the mine crude oil storage and transportation system in cooperation with the scheduling process.
And S3, constructing an index system consisting of a plurality of evaluation indexes according to the structural composition and the realized main functions of the crude oil storage and transportation system of the oil field and the working characteristics of main equipment and facilities in the system. The index system may be composed of three levels, and the indexes included in each level and their relative relationships may be as follows.
The adaptability of a crude oil storage and transportation system of a mine field is used as a first-level evaluation index;
the adaptability of the crude oil depot system of the mine field is used as a secondary evaluation index;
the adaptability of an external transportation pipeline system of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the adaptability of an auxiliary production system of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the cooperativity of production scheduling of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the adaptability of a process system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a power supply system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a power system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a thermal system of a crude oil depot of a mine field is used as a three-level evaluation index;
taking the safety of an oil collecting and storing subsystem of a crude oil depot of a mine as a third-level evaluation index;
the economy of an oil collecting and storing subsystem of a crude oil depot of a mine field is used as a third-level evaluation index;
the economical efficiency of the external oil transportation subsystem of the crude oil depot of the mine field is used as a third-level evaluation index;
taking the safety of an oil delivery subsystem outside a crude oil depot of a mine as a three-level evaluation index;
the adaptability of an external pipeline process system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an external transmission pipeline power supply system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an external pipeline power system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an export pipeline thermodynamic system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
taking the flowing safety of an external pipeline of a crude oil storage and transportation system of a mine as a three-level evaluation index;
the economical efficiency of the outward pipeline transportation process of the crude oil storage and transportation system of the mine field is used as a third-level evaluation index;
the adaptability of a fire-fighting system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a communication system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a power supply and distribution system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a maintenance and first-aid repair system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
taking the scientificity of the collaborative scheduling decision of the crude oil storage and transportation system of the mine as a third-level evaluation index;
the high efficiency of the cooperative scheduling response of the crude oil storage and transportation system of the mine is used as a third-level evaluation index.
S4, determining the weight of each index in the evaluation index system, and specifically dividing the index system for the adaptability evaluation of the crude oil storage and transportation system in the mine into three levels by adopting an analytic hierarchy process aiming at a three-level evaluation index system, wherein the first level index is a target level, the second level index is a criterion level, and the third level index is an index level.
And judging and assigning the relative importance degree of each two indexes of the same level by adopting a 1-9 scale method, integrating the data in a matrix mode to form a judgment matrix, calculating the characteristic vector of the matrix, normalizing the characteristic vector to obtain a weight vector, and simultaneously carrying out consistency test on the judgment matrix by using the maximum characteristic root, and if the consistency test is passed, obtaining the weight vectors of all the indexes of the same level. If the consistency check is not passed, the judgment matrix needs to be reconstructed, and the operation is carried out until the consistency check is passed.
After the weights of all indexes in the same level in the criterion layer and the index layer are obtained, the weight of an index in the index layer can be further multiplied by the weight of the index in the criterion layer to which the index belongs, so that the weight of each index layer index to the target layer index is obtained.
And S5, constructing evaluation grade standard, namely a comment set of fuzzy comprehensive evaluation. The evaluation grade standard is composed of m adaptability grades. According to the characteristics of adaptability of the crude oil storage and transportation system in the mine field, 5-grade comments can be adopted, which are respectively as follows: "good", "normal", "poor", "very poor". According to different evaluation indexes, the comment according to language habits may become: the terms "very high", "general", "low", "very low", and the like, but the terms are the same in nature, and the change of the semantics does not influence the assignment of the comment set and the nature attribute of the evaluated object.
And S6, dividing the evaluation indexes into qualitative evaluation indexes and quantitative evaluation indexes, wherein the indexes which are difficult to quantify can only be treated as the qualitative evaluation indexes through subjective judgment indexes, such as adaptability of a fire-fighting system, adaptability of a communication system, adaptability of a power supply and distribution system and an adaptability of a maintenance and emergency repair system, science of a cooperative scheduling decision and high-efficiency indexes of the cooperative scheduling decision. And treating indexes of which the comment grades can be directly or indirectly determined through calculation, such as the safety and the economy of the oil export subsystem of the crude oil depot, the flow safety of an export pipeline, the pipeline transportation economy and the like, as quantitative evaluation indexes.
S7, for a certain qualitative evaluation index, judging the membership degree of the certain qualitative evaluation index to each adaptability grade by adopting an expert scoring method, and specifically, the method can be implemented according to the following steps:
(1) selecting experts or professional technicians which have abundant field working experience and deeply know related theoretical techniques in the field to form an expert group;
(2) further decomposing the evaluation indexes, representing the index levels of the evaluation indexes by n factors, setting a grading level for each factor, and finally forming an questionnaire aiming at a certain evaluation index;
(3) the method comprises the following steps of (1) issuing a questionnaire to experts and gathering opinions of each expert to obtain a scoring result of each expert;
(4) obtaining the evaluation result of each expert on the evaluated qualitative evaluation index according to the corresponding relation between the total score of the questionnaire determined in advance and different adaptability grades;
(5) and counting the evaluation results of all experts, and determining the membership degree of the evaluated qualitative evaluation index to each adaptability level according to the proportion of the number of experts selecting a certain adaptability level to the total number of all experts.
For a certain amount of evaluation indexes, the membership degree of the certain amount of evaluation indexes to each adaptability grade in the comment set can be judged according to the following steps:
(1) selecting a plurality of key parameters for determining a certain amount of evaluation indexes according to a field regulation and system, an industrial standard and the like, and establishing a specific calculation method of each key parameter;
(2) comprehensively considering the value range of each key parameter, setting a detailed evaluation criterion, wherein the criterion comprises different grades, each grade corresponds to a certain value range of each key parameter, and each grade also corresponds to the adaptability grade of the fuzzy comprehensive evaluation;
(3) selecting a plurality of groups of operation working conditions on the basis of a basic attribute information database and a production operation database of a crude oil storage and transportation system of a mine, wherein the selection of the working conditions is in consideration of different environmental conditions, different equipment operation states and the like, so that the selected working conditions comprehensively reflect the state of an evaluation index, and the numerical value of each key parameter under the selected working conditions is further calculated;
(4) according to the numerical values of all key parameters under a certain working condition, determining the adaptability level of the evaluated quantitative evaluation index under each selected working condition by contrasting the evaluation criterion;
(5) summarizing the evaluation results under all working conditions, and taking the ratio of the number of the working conditions which are subordinate to a certain adaptability grade to the total number of the selected working conditions as the membership degree of the quantitative evaluation index to the adaptability grade;
(6) in the case of multiple devices or facilities of the same type, for example, a crude oil storage and transportation system in a mine may be composed of multiple crude oil depots, or multiple heating furnaces or oil transportation pumps with the same purpose may be in the same crude oil depots, it is necessary to first determine the membership degree of the quantitative evaluation index of each device or facility to each adaptability level in the comment set.
Then, the analytic hierarchy process is applied to determine the relative weight of different devices or facilities of the same type, and when the relative importance degree of two devices or facilities is specifically determined, the use frequency of the different devices or facilities, the processing capacity of the devices or facilities, whether the devices or facilities are standby devices and the like need to be considered.
After the weights of different equipment are determined, calculation can be performed according to the evaluation result of each equipment in combination with the weights, and finally the membership degree of the same quantitative evaluation index capable of comprehensively reflecting the same type of equipment or facilities to each adaptability grade is obtained.
Therefore, the membership degree of each three-level index to each adaptability level can be obtained. And aiming at the three-layer index system, integrating the membership degrees of all three-level indexes subordinate to the second-level indexes to construct corresponding fuzzy relation matrixes, wherein each fuzzy relation matrix is used for expressing the membership degrees of all the three-level indexes subordinate to each second-level index to m adaptability levels.
And S8, reading the fuzzy relation matrix, multiplying the fuzzy relation matrix by the corresponding index weight to complete primary fuzzy comprehensive evaluation, and obtaining the membership of each secondary index to each adaptability grade.
And S9, integrating the membership degrees of the secondary indexes to construct a corresponding fuzzy relation matrix, wherein the fuzzy relation matrix is used for expressing the membership degrees of all the secondary indexes to all the adaptability levels.
And S10, reading the fuzzy relation matrix, multiplying the fuzzy relation matrix by the corresponding index weight to complete secondary fuzzy comprehensive evaluation, and obtaining the membership degree of the primary index to each adaptability grade. After the membership degrees of the primary evaluation indexes to the various adaptability levels are obtained, the primary evaluation indexes, namely the final grade of the adaptability level of the crude oil storage and transportation system in the mine can be determined according to a certain principle, such as a maximum membership degree principle or a fuzzy vector single-valued method.
And S11, for the index system exceeding three layers, performing multi-level fuzzy comprehensive evaluation through multiple times of the operation to obtain the final membership degree of the first-level evaluation index to each adaptability level.
Example (b):
in order to fully illustrate the objectivity and effectiveness of the method for evaluating the adaptability of the crude oil storage and transportation system in the oil field and based on the fuzzy comprehensive evaluation method, the method is applied to the adaptability evaluation of the crude oil storage and transportation system in the Daqing oil field, and comprises the following specific steps:
establishing a basic attribute information database of a crude oil storage and transportation system of a Daqing oil field mine site:
the established database consists of a plurality of sub databases, including a mine field crude oil storage basic attribute information database, a mine field crude oil storage and transportation system external transportation pipeline basic attribute information database, a mine field crude oil storage and transportation system auxiliary production system attribute information database, a mine field crude oil storage and transportation system cooperative scheduling attribute information database and the like. And relevant data are collected through field investigation, and the established database is perfected.
(II) establishing a database for storing production operation data information of the crude oil storage and transportation system of the oil field and mine field:
the database consists of a plurality of sub-repositories, and comprises a production operation database of a mine field crude oil repository, an export pipeline production operation database of a mine field crude oil storage and transportation system, a production operation database of an auxiliary production system of the mine field crude oil storage and transportation system, a production operation database of a collaborative scheduling process of the mine field crude oil storage and transportation system and the like. And the relevant data information in the database is perfected through field test or by using the existing field equipment to collect data.
(III) constructing an evaluation index system:
the established evaluation index system is specifically shown in fig. 1, and comprises 1 primary index, 4 secondary indexes and 20 tertiary indexes.
(IV) determining the weight of each evaluation index:
in this embodiment, the weight of each evaluation index is calculated by selecting an analytic hierarchy process. Because a three-layer index system is established, a first-level index of the adaptability evaluation of the crude oil storage and transportation system of the mine field is selected as a target layer, a second-level index is selected as a criterion layer, and a third-level index is selected as an index layer by adopting an analytic hierarchy process.
Firstly, judging and assigning relative importance degrees of all three-level indexes belonging to a certain two-level index by adopting a 1-9 scale method, and then integrating the data in a matrix mode to form a judgment matrix. Taking all the three-level indexes for determining the secondary indexes- "adaptability of the crude oil reservoir system" as an example, the relative importance degree of each three-level index is shown in table 1:
TABLE 1
The decision matrix constructed from the above table is as follows:
and calculating to obtain weight vectors and maximum characteristic roots of all three levels of indexes determining the adaptability of the crude oil reservoir system through the matrix as follows:
the weight vector is:
the largest characteristic root is:
and (3) calculating a consistency index:
the following table is looked up to determine the randomness index RI, which corresponds to an average randomness index r.i. ═ 1.42 for this 8 th order matrix.
TABLE 2
Calculate the consistency ratio:
if the C.R. is less than 0.1, the judgment matrix is considered to meet the consistency condition, and the obtained weight vector is accurate.
The weights of all the tertiary indexes to the secondary indexes to which they are subordinate can be obtained in the same way. The method can also be applied to obtain the weights of all secondary indexes, and the specific results are summarized as shown in Table 3.
TABLE 3
(V) constructing a comment set and determining each evaluation grade standard
According to the characteristics of adaptability of the crude oil storage and transportation system in the mine field, 5-grade comments can be adopted, which are respectively as follows: "good", "normal", "poor", "very poor". Depending on the evaluation index, the comment may become: the terms "very high", "general", "low", "very low", and the like, but have the same essential meaning, and the change of the semantics does not influence the assignment of the comment set and the essential attributes of the evaluated object.
Sixthly, calculating the membership degree of each evaluation index
For qualitative evaluation indexes, the membership degree can be determined by adopting an expert scoring method, in the embodiment, the adaptability of the fire-fighting system of the crude oil storage and transportation system in a mine field is taken as an example, and the calculation process can be expressed as follows:
selecting high-level technicians of a fire department in charge of a Daqing oil field storage, transportation, sale and distribution company, safety responsible persons of each sub-unit for fire protection and experts of an oil field fire protection system to form an expert group;
secondly, further decomposing the adaptive indexes of the fire-fighting system, and representing the adaptive index level of the fire-fighting system of the Daqing oilfield crude oil storage and transportation system by 15 factors, wherein the adaptive index level specifically comprises a fire-fighting safety management system, a fire-fighting safety management responsible and actual situation, fire-fighting fire extinguishing capacity, fire-fighting personnel proportion, fire-fighting personnel technical training situation, fire-fighting equipment matching situation, fire-fighting equipment maintenance situation, fire-fighting personnel training situation, fire-fighting inspection frequency, fire danger hidden supervision and improvement efficiency, fire-fighting consciousness training situation, fire-fighting water supply capacity, fire-fighting team responsibility area division situation, disaster emergency response efficiency, disaster emergency response scheme and the like, and setting specific scoring original rules aiming at different factors to form an investigation questionnaire aiming at the adaptive indexes of the fire-fighting system;
thirdly, issuing a questionnaire to the experts and gathering the opinions of each expert to obtain the scoring result of each expert;
fourthly, obtaining the evaluation result of each expert on the evaluated index according to the corresponding relation between the total score of the questionnaire determined in advance and different adaptability grades;
and fifthly, counting the evaluation results of all experts, and determining the membership degree of the evaluated qualitative evaluation index to each adaptability level in the comment set according to the proportion of the number of the experts which judge that the adaptability of the fire fighting system belongs to a certain adaptability level to the total number of all experts.
The membership degree of the adaptability of the fire fighting system to each adaptability grade obtained by the method is (0.059, 0.235, 0.676, 0.059, 0).
For quantitative evaluation indexes, taking the index of 'economy of an oil delivery subsystem outside a crude oil depot' as an example, the quantitative evaluation indexes are introduced to the calculation process of the adaptability grade membership degree:
firstly, based on energy analysis of a crude oil reservoir system, two key parameters of unit consumption of oil delivery outside the crude oil reservoir and energy utilization rate of an oil delivery subsystem are selected as the basis for evaluating the economical efficiency of the oil delivery subsystem outside the crude oil reservoir, and the calculation formulas of the two key parameters are as follows:
energy utilization rate eta of external oil conveying subsystem of crude oil depotWS：
In the formula, TDFor a selected scheduling time, EWSpinThe pressure energy brought by the crude oil entering the external oil transportation subsystem in unit time, EWShinHeat energy brought in by crude oil entering the export oil subsystem in a unit time, EWSsupSum of heat energy and pressure energy provided by the internal and external oil transportation subsystems for crude oil in unit time, EWSpoutPressure energy brought about by crude oil leaving the external oil delivery subsystem in a unit time, EWShinIs the heat energy carried out by the crude oil leaving the export oil subsystem per unit time.
Unit consumption M for external oil transportation of crude oil depotWS：
In the formula, BFThe amount of fuel consumed by a heating furnace for providing heat energy to crude oil in an internal and external oil transportation subsystem per unit time, BPAmount of fuel consumed by a boiler providing heat energy for crude oil in an internal and external oil transportation subsystem per unit time, NWSIs delivered within a unit timeElectricity consumed by oil transfer pumps providing pressure energy for crude oil in oil subsystems, GWSinThe output oil quantity of the crude oil depot in unit time, p is the coefficient for converting fuel into standard coaleTo convert the consumed electric energy into the coefficient of standard coal.
(2) The method comprises the following steps of comprehensively considering value taking ranges of two key parameters of unit consumption of the external oil transportation and the energy utilization rate of an external oil transportation subsystem, and setting a quantitative evaluation criterion:
TABLE 4
(3) Based on a basic attribute information database and a production operation database of a Daqing oil field crude oil storage and transportation system, selecting operation conditions under different environmental conditions, different scheduling times and different treatment amounts, and calculating the unit consumption of external oil transportation of the crude oil storage and the energy utilization rate of an external oil transportation subsystem under each group of the operation conditions.
(4) Comparing with an evaluation criterion, and determining the membership degree of the evaluated quantitative evaluation index to each adaptability grade in the comment set under each selected working condition;
(5) and summarizing the evaluation results under all the working conditions, and taking the ratio of the number of the working conditions which belong to a certain adaptability grade to the total number of the selected working conditions as the membership degree of the quantitative evaluation index to the adaptability grade, so that the membership degree of the economic index of the crude oil depot oil transportation subsystem to each adaptability grade is (0, 0.278, 0.500, 0.222, 0).
(seventhly) first-class fuzzy comprehensive evaluation
And integrating the membership degrees of all the three-level indexes belonging to a certain two-level index, constructing a fuzzy relation matrix, multiplying the fuzzy relation matrix by the corresponding index weight to complete the first-level fuzzy comprehensive evaluation, and obtaining the membership degree of each two-level index to each adaptability level. Taking the 'adaptability of the outgoing pipeline system' index in the secondary indexes as an example, the method for determining the membership degree of each adaptability grade is described as follows:
integrating all three-level indexes determining the adaptability of the external transmission pipeline of the Daqing oilfield crude oil storage and transportation system to obtain a corresponding fuzzy relation matrix:
the weight vector of each three-level index is:
performing primary fuzzy comprehensive evaluation to obtain the membership degree of the adaptability level of the external transportation pipeline system of the Daqing oil field crude oil storage and transportation system to each adaptability grade:
B＝(0.472 0.301 0.105 0.063 0.058)
(eight) two-stage fuzzy comprehensive evaluation
And (5) calculating according to the sixth step to obtain the membership degree of each secondary index to the comment set, and integrating the membership degree of each secondary index on the basis to construct a corresponding fuzzy relation matrix.
The weights of all secondary indexes determining the adaptability level of the crude oil storage and transportation system are as follows:
and performing secondary fuzzy comprehensive evaluation to obtain the membership degree of the total adaptability level of the Daqing oil field crude oil storage and transportation system to each adaptability grade as follows:
B＝(0.239 0.206 0.322 0.166 0.066)
(nine) mine site crude oil storage and transportation system adaptability level determination
According to the maximum membership principle, selecting the comment with the maximum membership as an overall evaluation result, and finally obtaining the overall adaptability level of the crude oil storage and transportation system in the Daqing oil field mine field as follows: "general".
In conclusion, the adaptability evaluation method for the crude oil storage and transportation system in the oil field based on the fuzzy comprehensive evaluation method is suitable for solving the complex problem of multiple layers and factors, accords with the characteristics that the adaptability evaluation index of the crude oil storage and transportation system in the oil field has strong hierarchy, not only comprises a quantitative evaluation index, but also comprises a qualitative evaluation index, and is more suitable for the adaptability evaluation of the crude oil storage and transportation system in the oil field. The evaluation result obtained by the method can reflect the fuzziness characteristics of the crude oil storage and transportation system of the mine and the adaptability of the crude oil storage and transportation system, the provided evaluation information is richer, and the specified fuzzy gradual change characteristics among different adaptability levels can be better represented, so that the evaluation result is more in line with objective practice.
Claims (3)
1. An adaptability evaluation method for a crude oil storage and transportation system in an oil field and mine field is characterized by comprising the following steps:
s1, establishing a basic database, wherein the basic database is used for storing basic attribute information of the crude oil storage and transportation system of the oil field and perfecting data information in the basic database by on-site investigation and data collection; the basic database comprises a basic attribute information database of a crude oil storage and transportation system of a mine field, a basic attribute information database of an export pipeline of the crude oil storage and transportation system of the mine field, an attribute information database of an auxiliary production system of the crude oil storage and transportation system of the mine field and a cooperative scheduling attribute information database of the crude oil storage and transportation system of the mine field;
s2, establishing a production operation database, wherein the production operation database is an operation database for storing production operation data information of a crude oil storage and transportation system in an oil field and mine field, and data is acquired through field test or by using field existing equipment to perfect the data information in the database; the operation database comprises a production operation database of a mine field crude oil depot, an export pipeline production operation database of a mine field crude oil storage and transportation system, a production operation database of an auxiliary production system of the mine field crude oil storage and transportation system and a production operation database of a collaborative scheduling process of the mine field crude oil storage and transportation system;
s3, constructing an evaluation index system composed of a plurality of evaluation indexes according to the structural composition and the realized main functions of the crude oil storage and transportation system of the oil field and the working characteristics of main equipment and facilities in the system; the evaluation index system is a three-layer index system which comprises a three-layer structure, and comprises the following components:
the adaptability of a crude oil storage and transportation system of a mine field is used as a first-level evaluation index;
the adaptability of the crude oil depot system of the mine field is used as a secondary evaluation index;
the adaptability of an external transportation pipeline system of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the adaptability of an auxiliary production system of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the cooperativity of production scheduling of a crude oil storage and transportation system of a mine field is used as a secondary evaluation index;
the adaptability of a process system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a power supply system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a power system of a crude oil depot of a mine field is used as a three-level evaluation index;
the adaptability of a thermal system of a crude oil depot of a mine field is used as a three-level evaluation index;
taking the safety of an oil collecting and storing subsystem of a crude oil depot of a mine as a third-level evaluation index;
the economy of an oil collecting and storing subsystem of a crude oil depot of a mine field is used as a third-level evaluation index;
the economical efficiency of the external oil transportation subsystem of the crude oil depot of the mine field is used as a third-level evaluation index;
taking the safety of an oil delivery subsystem outside a crude oil depot of a mine as a three-level evaluation index;
the adaptability of an external pipeline process system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an external transmission pipeline power supply system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an external pipeline power system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of an export pipeline thermodynamic system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
taking the flowing safety of an external pipeline of a crude oil storage and transportation system of a mine as a three-level evaluation index;
the economical efficiency of the outward pipeline transportation process of the crude oil storage and transportation system of the mine field is used as a third-level evaluation index;
the adaptability of a fire-fighting system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a communication system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a power supply and distribution system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
the adaptability of a maintenance and first-aid repair system of a crude oil storage and transportation system of a mine field is used as a three-level evaluation index;
taking the scientificity of the collaborative scheduling decision of the crude oil storage and transportation system of the mine as a third-level evaluation index;
taking the high efficiency of the cooperative scheduling response of the crude oil storage and transportation system of the mine as a third-level evaluation index;
s4, determining the weight of each evaluation index in the evaluation index system according to the content of each evaluation index and the influence degree of each evaluation index on the adaptability of the crude oil storage and transportation system of the mine, and determining the weight of different indexes by adopting an analytic hierarchy process;
s5, establishing an evaluation grade standard to form a comment set of fuzzy comprehensive evaluation; the evaluation grade standard is composed ofmAn adaptability level is formed;
s6, dividing the evaluation index into a qualitative evaluation index and a quantitative evaluation index, and taking the index subjected to subjective judgment as the qualitative evaluation index; directly or indirectly determining the index of the evaluation grade as a quantitative evaluation index through calculation;
s7, determining the pair of qualitative evaluation indexes in the three-level evaluation indexes by adopting a qualitative evaluation methodmMembership of individual fitness levels; and calculating the quantitative evaluation indexes in the three-level evaluation indexes by adopting a quantitative evaluation method to obtain pairs thereofmMembership of individual fitness levels; finally, the membership degree of each three-level evaluation index to each adaptability grade is obtained; on the basis, the membership degrees of all three-level evaluation indexes subordinate to the two-level evaluation indexes are integrated to construct corresponding fuzzy relation matrixes, and each fuzzy relation matrix is used for expressing all three-level evaluation index pairs subordinate to each two-level evaluation indexmMembership of individual fitness levels;
s8, reading the fuzzy relation matrix, multiplying the fuzzy relation matrix by the corresponding index weight to complete primary fuzzy comprehensive evaluation to obtain the membership of each secondary evaluation index to each adaptability grade;
s9, integrating the membership degrees of the secondary evaluation indexes obtained in the step S8, and constructing a corresponding fuzzy relation matrix, wherein the fuzzy relation matrix is used for expressing the membership degrees of all the secondary evaluation indexes subordinate to the primary evaluation indexes to all the adaptability levels;
and S10, reading the fuzzy relation matrix of S9, multiplying the fuzzy relation matrix by corresponding index weight to complete secondary fuzzy comprehensive evaluation to obtain the membership of the primary index to each adaptability grade, and determining the primary evaluation index, namely the final grade of the adaptability level of the crude oil storage and transportation system of the mine field according to a maximum membership principle or a fuzzy vector single-valued method.
2. The method for evaluating the adaptability of the crude oil storage and transportation system in the oil field and mine field according to claim 1, wherein the method comprises the following steps: the step of determining the weights of the different indexes in the step of S4 adopts an analytic hierarchy process specifically as follows:
taking a first-level index of the adaptability evaluation of the crude oil storage and transportation system of the mine as a target layer;
taking a secondary index of the adaptability evaluation of the crude oil storage and transportation system of the mine as a criterion layer;
taking three-level indexes of the adaptability evaluation of the crude oil storage and transportation system of the mine as an index layer;
judging and assigning the relative importance degree of every two factors of all factors at the same level by adopting a 1-9 scale method, integrating the data in a matrix mode to form a judgment matrix, further calculating the characteristic vector and the maximum characteristic root of the matrix, and normalizing the characteristic vector to obtain a weight vector; if the consistency condition is met, obtaining weight vectors of all indexes or factors at the same level; if the consistency condition is not met, reconstructing the judgment matrix, and performing the operation again until the consistency condition is met;
and after the weights of all indexes in the same level in the criterion layer and the index layer are obtained, multiplying the weight of a certain index in the index layer by the weight of the index in the criterion layer to which the index belongs to obtain the weight of the index of each index layer to the index of the target layer.
3. The method for evaluating the adaptability of the crude oil storage and transportation system in the oil field and mine field according to claim 2, characterized in that: in the step S7, each quantitative evaluation index pair is obtained by calculation through a quantitative evaluation methodmThe method for the membership degree of each adaptability grade comprises the following steps:
(1) selecting a plurality of key parameters determining a certain amount of evaluation indexes according to a field regulation and system and an industrial standard, and establishing a specific calculation method of each key parameter;
(2) referring to an industry standard, comprehensively considering the value range of each key parameter, and setting an evaluation criterion, wherein the evaluation criterion comprises different grades, each grade corresponds to a certain value range of each key parameter, and each grade also corresponds to the adaptability grade of the fuzzy comprehensive evaluation;
(3) selecting a plurality of groups of operation working conditions on the basis of a basic database and a production operation database, wherein the selection of the operation working conditions takes different environmental conditions and different equipment operation states into consideration, so that the selected working conditions comprehensively reflect the state of the evaluated index, and calculating the numerical value of each key parameter under the selected working conditions on the basis;
(4) determining the membership degree of the evaluated quantitative evaluation index to each adaptability grade under each group of selected working conditions according to the numerical value of each key parameter under a certain working condition and by contrasting the evaluation criterion;
(5) summarizing the evaluation results under all the operating conditions, and taking the ratio of the number of the working conditions which are subordinate to a certain adaptability grade to the total number of the selected working conditions as the membership degree of the quantitative evaluation index to the adaptability grade;
then, determining the relative weight of different equipment or facilities of the same type by using an analytic hierarchy process, and considering the use frequency of the different equipment or facilities, the processing capacity of the equipment or facilities and whether the equipment or facilities are standby equipment or not when specifically determining the relative importance degree of every two equipment or facilities;
after the weights of different equipment are determined, calculation is carried out according to the quantitative evaluation index evaluation result of each equipment in combination with the weights, and finally the membership degree of the same quantitative evaluation index capable of comprehensively reflecting the same type of equipment or facilities to each adaptability grade is obtained.
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