阅读说明：本技术 综合能源物联网评价方法、装置、电子设备及存储介质 (Comprehensive energy Internet of things evaluation method and device, electronic equipment and storage medium ) 是由 杨锦成 贾容达 洪瑞新 胡斌 陈征 薛福霞 王碧石 高昇宇 朱红 周冬旭 于 2021-06-30 设计创作，主要内容包括：本发明公开了一种综合能源物联网评价方法、装置、电子设备及存储介质。该方法包括：基于层次分析法确定综合能源物联网的评价指标的权重集,其中,所述评价指标分为至少两级,且一级评价指标包括工程性指标、技术性指标、经济性指标、环保性指标以及社会性指标；构造综合能源物联网的模糊化向量矩阵；根据所述权重集和所述模糊化向量矩阵得到模糊评价向量；根据所述模糊评价向量中的元素对于各评价等级的隶属度,得到评价结果。通过上述技术方案,采用定性和定量相结合的方法,提供了一种涵盖经济效益、环保效益以及技术质量等方面的综合效益评价体系,提高了评价的全面性和评价结果的可信度。(The invention discloses a comprehensive energy Internet of things evaluation method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a weight set of evaluation indexes of the comprehensive energy Internet of things based on an analytic hierarchy process, wherein the evaluation indexes are divided into at least two stages, and the first-stage evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes; constructing an fuzzification vector matrix of the comprehensive energy Internet of things; obtaining a fuzzy evaluation vector according to the weight set and the fuzzified vector matrix; and obtaining an evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade. By adopting the technical scheme and the method combining the qualitative and quantitative methods, a comprehensive benefit evaluation system covering the aspects of economic benefit, environmental protection benefit, technical quality and the like is provided, and the comprehensiveness of evaluation and the reliability of an evaluation result are improved.)

1. A comprehensive energy Internet of things evaluation method is characterized by comprising the following steps:

determining a weight set of evaluation indexes of the comprehensive energy Internet of things based on an analytic hierarchy process, wherein the evaluation indexes are divided into at least two stages, and the first-stage evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes;

constructing an fuzzification vector matrix of the comprehensive energy Internet of things;

obtaining a fuzzy evaluation vector according to the weight set and the fuzzified vector matrix;

and obtaining an evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade.

2. The method of claim 1, wherein the secondary evaluation index of the technical index comprises: energy supply reliability index, energy efficiency index, energy supply quality index, network loss index and interactivity index.

3. The method of claim 1, wherein determining the weight set of the evaluation index of the internet of things of the integrated energy based on the analytic hierarchy process comprises:

dividing the relative importance degree between the evaluation indexes into a plurality of grades, and determining a judgment matrix according to the component result;

calculating a characteristic vector corresponding to the maximum characteristic value of the judgment matrix;

and carrying out normalization processing on the feature vectors to obtain a weight set of the evaluation indexes.

4. The method of claim 3, after determining the decision matrix, further comprising:

carrying out consistency check on the judgment matrix;

and if the judgment matrix does not accord with the consistency condition, re-determining the judgment matrix.

5. The method of claim 4, wherein performing a consistency check on the decision matrix comprises:

calculating a consistency check index according to the maximum characteristic value and the dimension of the judgment matrix;

determining an average random consistency index according to the dimension of the judgment matrix;

and if the ratio of the consistency check index to the average random consistency index is smaller than or equal to a set value, or the maximum characteristic value is equal to the dimension of the judgment matrix and the consistency check index is 0, the judgment matrix accords with the consistency condition.

6. The method of claim 1, wherein deriving a fuzzy evaluation vector from the set of weights and the fuzzy vector matrix comprises:

and performing fuzzy transformation operation on the weight set and the fuzzified vector matrix based on a preset fuzzy operator to obtain the fuzzy evaluation vector.

7. The method of claim 6, wherein obtaining the evaluation result according to the membership degree of the element in the fuzzy evaluation vector for each evaluation level comprises:

and taking the evaluation grade corresponding to the maximum membership degree as the evaluation result.

8. The utility model provides a comprehensive energy thing networking evaluation device which characterized in that includes:

the weight determination module is used for determining a weight set of evaluation indexes of the comprehensive energy Internet of things based on an analytic hierarchy process, wherein the evaluation indexes are divided into at least two stages, and the first-stage evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes;

the vector matrix determination module is used for constructing a fuzzification vector matrix of the comprehensive energy Internet of things;

the evaluation vector determining module is used for obtaining fuzzy evaluation vectors according to the weight set and the fuzzified vector matrix;

and the evaluation module is used for obtaining an evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade.

9. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement the method of evaluating the internet of things for renewable energy as set forth in any of claims 1-7.

10. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the method for evaluating the internet of things as claimed in any one of claims 1 to 7.

Technical Field

The embodiment of the invention relates to the technical field of comprehensive energy, in particular to a comprehensive energy Internet of things evaluation method and device, electronic equipment and a storage medium.

Background

The energy Internet of things is a heterogeneous energy Internet of things sharing network formed by fusing a power network, a natural gas network, a heat supply/cold network and other multi-energy networks and an electric traffic network by using electricity as a core and utilizing a renewable energy power generation technology, an information technology and the like. The energy Internet of things is a product of deep integration of an information communication technology and an energy system, is an energy production, supply and marketing integrated system formed by organically coordinating links such as energy generation, transmission and distribution (energy network), conversion, storage, consumption and the like, and is particularly suitable for operation optimization of park (community) and town level energy systems.

The urban energy Internet of things is an important application of smart energy in a novel Chinese urbanization process, and has the characteristics of various energy types, complex structural coupling, different user types, uncertainty of source load and space time and the like. At present, research on the evaluation of the benefits of the comprehensive energy system can be carried out from three aspects of economic, social and environmental benefits which can be brought by the comprehensive energy system, but secondary indexes are less in arrangement, the benefits of the comprehensive energy system cannot be comprehensively and deeply reflected, a systematic basic theory and a mature evaluation standard are lacked, and the comprehensiveness of the evaluation and the reliability of an evaluation result need to be improved.

Disclosure of Invention

The invention provides a comprehensive energy Internet of things evaluation method and device, electronic equipment and a storage medium, which are used for improving the comprehensiveness of evaluation and the reliability of an evaluation result.

In a first aspect, an embodiment of the present invention provides a comprehensive energy internet of things evaluation method, including:

determining a weight set of evaluation indexes of the comprehensive energy Internet of things based on an Analytic Hierarchy Process (AHP), wherein the evaluation indexes are divided into at least two stages, and the first-stage evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes;

constructing an fuzzification vector matrix of the comprehensive energy Internet of things;

obtaining a fuzzy evaluation vector according to the weight set and the fuzzified vector matrix;

and obtaining an evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade.

In a second aspect, an embodiment of the present invention provides an evaluation apparatus for an internet of things as a comprehensive energy source, including:

the weight determination module is used for determining a weight set of evaluation indexes of the comprehensive energy Internet of things based on an analytic hierarchy process, wherein the evaluation indexes are divided into at least two stages, and the first-stage evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes;

the vector matrix determination module is used for constructing a fuzzification vector matrix of the comprehensive energy Internet of things;

the evaluation vector determining module is used for obtaining fuzzy evaluation vectors according to the weight set and the fuzzified vector matrix;

and the evaluation module is used for obtaining an evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade.

In a third aspect, an embodiment of the present invention provides an electronic device, including:

one or more processors;

storage means for storing one or more programs;

when the one or more programs are executed by the one or more processors, the one or more processors implement the method for evaluating the internet of things as an integrated energy resource as described in the first aspect.

In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for evaluating an internet of things for comprehensive energy resources according to the first aspect.

The embodiment of the invention provides a comprehensive energy Internet of things evaluation method and device, electronic equipment and a storage medium.

Drawings

Fig. 1 is a flowchart of a comprehensive energy internet of things evaluation method according to an embodiment of the present invention;

fig. 2 is a flowchart of a comprehensive energy internet of things evaluation method provided by the second embodiment of the invention;

fig. 3 is a schematic structural diagram of an evaluation device of the internet of things for comprehensive energy provided by the third embodiment of the invention;

fig. 4 is a schematic diagram of a hardware structure of an electronic device according to a fourth embodiment of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. In addition, the embodiments and features of the embodiments in the present invention may be combined with each other without conflict. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Example one

Fig. 1 is a flow chart of comprehensive energy internet of things evaluation provided in an embodiment of the present invention, which is applicable to a situation of comprehensively evaluating benefits of a comprehensive energy internet of things. Specifically, the comprehensive energy internet of things evaluation method can be executed by a comprehensive energy internet of things evaluation device, and the comprehensive energy internet of things evaluation device can be realized in a software and/or hardware mode and is integrated in the electronic equipment. Further, electronic devices include, but are not limited to: desktop computers, notebook computers, smart phones, tablet computers, servers, and the like.

As shown in fig. 1, the method specifically includes the following steps:

s110, determining a weight set of evaluation indexes of the comprehensive energy Internet of things based on an analytic hierarchy process, wherein the evaluation indexes are divided into at least two levels, and the first-level evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes.

In this embodiment, the evaluation index of the comprehensive energy internet of things is divided into at least two levels, so as to evaluate the performance of the city-level comprehensive energy internet of things after operation in a comprehensive manner. The first-level evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes.

The engineering indexes are mainly used for evaluating the generalizability of the comprehensive energy Internet of things, and more specifically, the technical feasibility, the expandability, the wide area sharing performance and the like are achieved; the technical indexes are mainly used for evaluating the energy supply characteristics of the comprehensive energy Internet of things, such as energy supply safety reliability, energy supply quality, energy supply network loss and the like, and more specifically such as safe power supply capacity, gas supply quality, power distribution network loss and the like; the economic indexes are mainly used for evaluating the economic benefits of the comprehensive energy Internet of things, and comprise energy economic indexes, cost indexes and the like, more specifically, the internal profitability, the reduction percentage of the operation and maintenance cost and the like; the environmental protection index is mainly used for evaluating the environmental protection benefits of the comprehensive energy Internet of things, and comprises a low-carbon emission index, a recycling economy index and the like, more specifically, pollutant emission reduction, waste water emission reduction and the like; the social indexes are mainly used for evaluating social benefits of the comprehensive energy Internet of things, such as user satisfaction, social contribution and the like, and more specifically such as indoor thermal environment satisfaction, employment benefits and the like. The evaluation value of the comprehensive energy Internet of things on each evaluation index can be evaluated by experts, and can also be obtained by a pre-trained machine learning model (such as a neural network) according to historical operating data of the comprehensive energy Internet of things.

On the basis of constructing a comprehensive evaluation index system, the weight setting of each evaluation index directly influences the rationality and the reliability of an evaluation result. In the embodiment, the weights of the evaluation indexes are set by adopting an analytic hierarchy process, so that qualitative and quantitative analysis is performed on the evaluation indexes of multiple levels or grades.

In some embodiments, the weights of the evaluation indexes can be determined by using a combination of an analytic hierarchy process and other methods, for example, a subjective weight is determined by using an analytic hierarchy process, an objective weight is determined by using an entropy method, and then the subjective and objective weights are combined to obtain the weight of each evaluation index.

And S120, constructing an fuzzification vector matrix of the comprehensive energy Internet of things.

Specifically, the fuzzification vector moment of the internet of things of the comprehensive energy is a matrix capable of transforming evaluation values (quantitative values) under each evaluation index to obtain an evaluation grade (qualitative evaluation result), and reflects a fuzzy relation between the evaluation values and the evaluation grades of each evaluation index, so that a qualitative problem is converted into a quantitative problem. The fuzzification vector matrix of the comprehensive energy Internet of things is recorded as R ═ (R)_ij)_n×mWherein n is an evaluation index or the number of evaluation values, m is the number of evaluation levels, r_ijThe evaluation value of the comprehensive energy internet of things for the ith (i 1, 2., n) evaluation index is the degree of the possibility that the j (j 1, 2., m) evaluation level is subordinate, that is, the degree of membership.

And S130, obtaining a fuzzy evaluation vector according to the weight set and the fuzzy vector matrix.

Specifically, in consideration of different importance degrees of different evaluation indexes, the fuzzy relationship synthesis operation is performed on the fuzzified vector matrix by using the weight set obtained based on the analytic hierarchy process, and this process can also be understood as performing weighted synthesis on all membership degrees in the fuzzified vector matrix according to the importance degrees to obtain a fuzzy evaluation vector, wherein each element in the fuzzy evaluation vector represents a membership degree of an evaluation value of the comprehensive energy internet of things after weighted synthesis. Illustratively, the fuzzy evaluation vector includes m elements, where m is the number of the evaluation levels, for example, m is 5, and the five evaluation levels are respectively good (I level), good (II level), general (III level), poor (IV level), and poor (V level), and the fuzzy evaluation vector represents the possibility that the evaluation result of the renewable energy internet of things is the five evaluation levels, and may also be understood as the membership of the renewable energy internet of things to the five evaluation levels. The fuzzy evaluation vector is obtained through fuzzy relation synthesis operation, the weights determined by the analytic hierarchy process for each evaluation index are fused, and the relative importance degree of each evaluation index can be comprehensively considered, so that the evaluation result is more credible.

And S140, obtaining an evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade.

Specifically, the higher the membership of an element in the fuzzy evaluation vector to an evaluation level, the more credible the evaluation level is. In this embodiment, the evaluation level corresponding to the maximum membership degree may be used as the evaluation result of the comprehensive energy internet of things. For example, if the five evaluation ranks are good (I rank), good (II rank), general (III rank), poor (IV rank), and poor (V rank), and the fuzzy evaluation vector is (0.1,0.3,0.2,0.2,0.2), the final evaluation result is good (II rank). It should be noted that, in the fuzzy comprehensive evaluation, the maximum membership degree principle is the most direct and simple method for determining the evaluation result, and in some embodiments, other principles may also be used to determine the evaluation result.

Optionally, the secondary evaluation indexes of the technical indexes include: energy supply reliability index, energy efficiency index, energy supply quality index, network loss index and interactivity index.

The energy supply safety and reliability index is mainly used for evaluating the operation reliability of equipment and the continuous energy supply capacity of a system in a user-level comprehensive energy system, and can be divided into two aspects of equipment-level reliability and system reliability evaluation, and the system reliability evaluation index is taken as an example and can comprise the safety power supply capacity, the vulnerability of a power grid structure, the transient safety, the power supply reliability (RS-3), the reliability of a gas pipe network system and the reliability of a gas pipeline.

The comprehensive energy efficiency index is mainly used for reflecting the efficiency level of different forms of energy utilization processes at the user side, and comprises comprehensive energy consumption reduction percentage, unit product energy consumption reduction percentage, renewable energy utilization rate, renewable energy proportion and the like.

The energy supply quality index is mainly used for evaluating the quality levels of electric energy, gas energy and heat energy in an energy system, directly influences the system safety and the satisfaction degree of a user side on energy supply, and mainly comprises three aspects of electric energy quality, natural gas quality and heat energy quality.

The energy supply network loss index is mainly used for reflecting energy lost in an energy transmission link, is one of factors influencing the comprehensive utilization efficiency of energy, and mainly comprises power distribution network loss, pipe network cold/heat loss and the like.

The interactive indexes are mainly used for reflecting the interactive level between a user side and an energy system, can reflect the interactive degree between source-load and charge-load and the contribution degree to the improvement of energy efficiency, the improvement of the proportion of clean energy and the like, and mainly comprise active peak clipping and valley filling load capacity, the proportion of an electric energy storage system, the proportion of a heat storage/cold system and the like.

Table 1 shows evaluation indexes of each level of the integrated energy internet of things. Illustratively, the first-level evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes, and the evaluation indexes are divided into three levels (three levels). By adopting the evaluation indexes shown in the table 1, comprehensive evaluation can be performed from five aspects of engineering, technology, economic benefit, social benefit and environmental benefit, the evaluation indexes are more comprehensive, and the evaluation result is more reliable.

Table 1 evaluation indexes of each level of the internet of things of comprehensive energy

According to the comprehensive energy Internet of things evaluation method provided by the embodiment of the invention, the evaluation indexes and corresponding weights of the urban comprehensive energy Internet of things are determined, the characteristics of green, low carbon, safety, reliability, economy, high efficiency and the like of a comprehensive energy system are comprehensively considered in a qualitative and quantitative combined mode by utilizing a fuzzy evaluation algorithm, a comprehensive benefit evaluation system covering economic benefits, environmental protection benefits, energy supply reliability and energy supply quality is constructed, and the comprehensiveness of evaluation and the reliability of an evaluation result are improved. The evaluation result obtained based on the method can provide a theoretical basis for the construction of the smart comprehensive energy Internet of things of the power grid service city, and lays a project implementation foundation in the aspects of planning design, construction, operation and the like.

Example two

Fig. 2 is a flowchart of an evaluation method of the comprehensive energy internet of things according to a second embodiment of the present invention, which is optimized based on the second embodiment, and specifically describes a process of determining a weight of an evaluation index and performing fuzzy comprehensive evaluation. It should be noted that technical details that are not described in detail in the present embodiment may be referred to any of the above embodiments.

Specifically, as shown in fig. 2, the method specifically includes the following steps:

s210, dividing the relative importance degree between the evaluation indexes into a plurality of grades, and determining a judgment matrix according to the component result.

Table 2 shows the component criteria of the relative importance degree of the evaluation index. Illustratively, the relative importance degree between each evaluation index is divided into five basic scales of general, slightly important, obviously important, strongly important and extremely important by adopting a five-level quantitative method, and corresponding numerical values of 1, 3, 5, 7 and 9 are respectively assigned to represent the relative importance degree. And carrying out fuzzy comprehensive evaluation on five dimensions of engineering, technology, economy, environmental protection and sociality.

TABLE 2 component criteria for the relative importance of the evaluation index

Further, the result of the grade component can obtain the judgment matrix A, A in A_i、a_j(i, j ═ 1,2, …, n) denotes the factor a_ijDenotes a_iRelative to a_jN is the number of evaluation indexes:

and S220, carrying out consistency check on the judgment matrix.

Specifically, in order to verify the reasonability of the component standard and the judgment matrix and ensure the correctness of the weight distribution of each evaluation index, the embodiment performs consistency check on the judgment matrix.

Further, S220 includes:

s2201: calculating a consistency check index according to the maximum characteristic value and the dimension of the judgment matrix;

s2202: determining an average random consistency index according to the dimension of the judgment matrix;

s2203: and if the ratio of the consistency check index to the average random consistency index is less than or equal to a set value, or the maximum characteristic value is equal to the dimension of the judgment matrix and the consistency check index is 0, judging that the matrix accords with the consistency condition.

In particular, based on the judgment momentThe array A calculates a eigenvector omega corresponding to the maximum eigenvalue: a ω ═ λ_maxω, from which the consistency check index is found:where n is the dimension of the decision matrix A, λ_maxThe maximum eigenvalue of the decision matrix.

And then, solving an average random consistency index RI according to the dimension n of the judgment matrix A. Table 3 shows the mapping of the decision matrix dimension to the average random consistency index. The average random consistency index RI of the single-level judgment matrix changes along with the dimension of the matrix, and the value of RI can be correspondingly determined under the condition that the dimension of the judgment matrix is determined.

TABLE 3 determination of the mapping relationship between matrix dimensionality and average random consistency index

n	1	2	3	4	5	6	7	8	9
										RI	0	0	0.58	0.9	1.12	1.24	1.32	1.41	1.45

On the basis, the consistency index CR of the matrix A is judged to be the ratio of the consistency check index to the average random consistency index:and comparing CR with a set value to check whether the matrix meets the consistency condition or not.

S230, determining that the matrix meets the consistency condition? If yes, go to S240; if not, go to S210.

Illustratively, when CR ≦ 0.1, or when λ_maxWhen n and CI is 0, judging that the matrix a meets the complete consistency condition, and belonging to an acceptable degree; if CR is more than 0.1, the current judgment matrix A does not meet the consistency condition, and reanalysis and assignment are needed until the judgment matrix is qualified.

And S240, calculating the eigenvector corresponding to the maximum eigenvalue of the judgment matrix.

And S250, carrying out normalization processing on the feature vectors to obtain a weight set of the evaluation indexes.

Specifically, normalization processing is performed on the feature vector ω to obtain the weight of each evaluation index, and a weight set W is formed:

the sum of the weights of the primary evaluation indexes is 1; for each primary evaluation index, the sum of the weights of subordinate secondary evaluation indexes is 1; similarly, for each secondary evaluation index, the sum of the weights of the subordinate tertiary evaluation indexes is 1.

And S260, constructing an fuzzification vector matrix of the comprehensive energy Internet of things.

And S270, based on a preset fuzzy operator, carrying out fuzzy transformation operation on the weight set and the fuzzified vector matrix to obtain the fuzzy evaluation vector.

Specifically, in the fuzzy comprehensive evaluation, the weight set W based on each evaluation index is (W)₁,w₂,…,w_n) Selecting a proper fuzzy operator, performing fuzzy transformation operation, and finally obtaining a five-dimensional fuzzy evaluation vector:wherein, ". "denotes a fuzzy operator, such as the" Min-Max "fuzzy operator, the" product-and "fuzzy operator," Min/product-and "fuzzy operator," Min-product "fuzzy operator," Min-and "fuzzy operator, and the like. (b) finally obtained₁,b₂,…,b₅) The method represents the result of constructing the comprehensive evaluation of multi-energy coordination from five aspects of engineering, technology, economy, environmental protection and society.

And S280, taking the evaluation grade corresponding to the maximum membership degree as the evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade.

Specifically, the component criteria of the evaluation indexes of the comprehensive energy internet of things are divided into five types according to evaluation grades (comment grades): good (class I), good (class II), general (class III), poor (class IV), very poor (class V), according to the principle of maximum membership, if b_j0＝max b_j(j is more than or equal to 1 and less than or equal to m), the judgment result is subordinate to the jth₀And (4) obtaining the evaluation result of the running performance of the city-level comprehensive energy Internet of things according to the evaluation level.

The comprehensive energy Internet of things evaluation method provided by the embodiment II of the invention is optimized on the basis of the embodiment, and the weight of each evaluation index is reasonably determined by a grade quantitative method and consistency check; the fuzzy comprehensive evaluation is carried out by adopting the fuzzy operator, the qualitative evaluation is converted into the quantitative evaluation according to the maximum membership principle, a clear evaluation result is obtained, the problem that the evaluation of the comprehensive energy Internet of things is difficult to quantify is effectively solved, and the comprehensiveness of the evaluation and the reliability of the evaluation result are improved.

EXAMPLE III

Fig. 3 is a schematic structural diagram of an evaluation device of the comprehensive energy internet of things according to a third embodiment of the present invention. The comprehensive energy thing networking evaluation device that this embodiment provided includes:

the weight determination module 310 is configured to determine a weight set of evaluation indexes of the comprehensive energy internet of things based on an analytic hierarchy process, wherein the evaluation indexes are divided into at least two levels, and a first-level evaluation index includes an engineering index, a technical index, an economic index, an environmental protection index and a social index;

the vector matrix determination module 320 is used for constructing a fuzzification vector matrix of the comprehensive energy Internet of things;

an evaluation vector determination module 330, configured to obtain a fuzzy evaluation vector according to the weight set and the fuzzified vector matrix;

and the evaluation module 340 is configured to obtain an evaluation result according to the membership degree of the element in the fuzzy evaluation vector to each evaluation level.

According to the comprehensive energy Internet of things evaluation device provided by the third embodiment of the invention, a qualitative and quantitative combined method is adopted, a comprehensive benefit evaluation system covering the aspects of economic benefit, environmental protection benefit, technical quality and the like is provided, and the comprehensiveness of evaluation and the reliability of an evaluation result are improved.

On the basis of the above embodiment, the secondary evaluation index of the technical index includes: energy supply reliability index, energy efficiency index, energy supply quality index, network loss index and interactivity index.

On the basis of the above embodiment, the weight determining module 310 includes:

the component unit is used for dividing the relative importance degree between the evaluation indexes into a plurality of grades and determining a judgment matrix according to the component result;

the characteristic vector calculation unit is used for calculating a characteristic vector corresponding to the maximum characteristic value of the judgment matrix;

and the normalization unit is used for performing normalization processing on the feature vectors to obtain a weight set of the evaluation indexes.

On the basis of the above embodiment, the apparatus further includes:

the checking module is used for carrying out consistency check on the judgment matrix after the judgment matrix is determined;

and the re-determining module is used for re-determining the judgment matrix if the judgment matrix does not accord with the consistency condition.

On the basis of the above embodiment, the inspection module includes:

the first index calculation unit is used for calculating a consistency check index according to the maximum characteristic value and the dimension of the judgment matrix;

the second index calculation unit is used for determining an average random consistency index according to the dimension of the judgment matrix;

and the checking unit is used for judging whether the consistency check index is less than or equal to a set value or not, or judging whether the maximum characteristic value is equal to the dimension of the judgment matrix and the consistency check index is 0 or not, and judging whether the judgment matrix accords with the consistency condition or not.

On the basis of the foregoing embodiment, the evaluation vector determining module 330 is specifically configured to:

and performing fuzzy transformation operation on the weight set and the fuzzified vector matrix based on a preset fuzzy operator to obtain the fuzzy evaluation vector.

On the basis of the foregoing embodiment, the evaluation module 340 is specifically configured to:

and taking the evaluation grade corresponding to the maximum membership degree as the evaluation result.

The comprehensive energy Internet of things evaluation device provided by the third embodiment of the invention can be used for executing the comprehensive energy Internet of things evaluation method provided by any embodiment, and has corresponding functions and beneficial effects.

Example four

Fig. 4 is a schematic diagram of a hardware structure of an electronic device according to a fourth embodiment of the present invention. Electronic devices include, but are not limited to: as shown in fig. 4, an electronic device provided in this embodiment includes: a processor 410 and a storage 420. The number of the processors in the electronic device may be one or more, fig. 4 illustrates one processor 410, the processor 410 and the storage device 420 in the electronic device may be connected by a bus or in other manners, and fig. 4 illustrates the connection by the bus.

The one or more programs are executed by the one or more processors 410, so that the one or more processors implement the method for evaluating the internet of things for comprehensive energy sources as described in any of the above embodiments.

The storage device 420 in the electronic device serves as a computer-readable storage medium, and may be configured to store one or more programs, which may be software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the method for evaluating the internet of things of integrated energy according to the embodiment of the present invention (for example, modules in the apparatus for evaluating the internet of integrated energy internet of fig. 3). The processor 410 executes various functional applications and data processing of the electronic device by running the software programs, instructions and modules stored in the storage device 420, so as to implement the method for evaluating the internet of things of the integrated energy resource in the above method embodiment.

The storage device 420 mainly includes a storage program area and a storage data area, wherein the storage program area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the electronic device, etc. (such as the weight set, the blurring vector matrix, etc. in the above-described embodiments). Further, the storage 420 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the storage 420 may further include memory located remotely from the processor 410, which may be connected to the electronic device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

And, when one or more programs included in the above electronic device are executed by the one or more processors 410, the following operations are performed: determining a weight set of evaluation indexes of the comprehensive energy Internet of things based on an analytic hierarchy process, wherein the evaluation indexes are divided into at least two stages, and the first-stage evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes; constructing an fuzzification vector matrix of the comprehensive energy Internet of things; obtaining a fuzzy evaluation vector according to the weight set and the fuzzified vector matrix; and obtaining an evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade.

The electronic device provided by the embodiment and the method for evaluating the comprehensive energy internet of things provided by the embodiment belong to the same inventive concept, technical details which are not described in detail in the embodiment can be referred to any of the embodiments, and the embodiment has the same beneficial effects as the method for evaluating the comprehensive energy internet of things.

On the basis of the foregoing embodiments, the present embodiment further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by the apparatus for evaluating an internet of things for integrated energy, implements the method for evaluating an internet of things for integrated energy according to any of the foregoing embodiments of the present invention, and the method includes: determining a weight set of evaluation indexes of the comprehensive energy Internet of things based on an analytic hierarchy process, wherein the evaluation indexes are divided into at least two stages, and the first-stage evaluation indexes comprise engineering indexes, technical indexes, economic indexes, environmental protection indexes and social indexes; constructing an fuzzification vector matrix of the comprehensive energy Internet of things; obtaining a fuzzy evaluation vector according to the weight set and the fuzzified vector matrix; and obtaining an evaluation result according to the membership degree of the elements in the fuzzy evaluation vector to each evaluation grade.

Of course, the storage medium containing the computer-executable instructions provided in the embodiments of the present invention is not limited to the operation of the comprehensive energy internet of things evaluation method described above, and may also perform related operations in the comprehensive energy internet of things evaluation method provided in any embodiments of the present invention, and has corresponding functions and advantages.

From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, where the computer software product may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk, or an optical disk of a computer, and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute the method for evaluating the internet of things for integrated energy according to the embodiments of the present invention.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.