CN110851784A - Early warning method for field operation of electric energy meter - Google Patents
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Abstract
The invention relates to an early warning method for an on-site running electric energy meter, which comprises the following steps: setting comprehensive evaluation indexes: establishing comprehensive evaluation indexes of the on-site operation electric energy meter, wherein the comprehensive evaluation indexes comprise a primary index and a secondary index; index weight acquisition: acquiring the weights of the first-level index and the second-level index based on a sequence relation analysis method; an evaluation result acquisition step: evaluating comprehensive evaluation indexes of the on-site running electric energy meter based on a fuzzy comprehensive evaluation method to obtain a comprehensive evaluation result; s4: and executing the step of comprehensive evaluation index setting to the step of evaluation result acquisition in different years, and acquiring comprehensive evaluation results of the field operation electric energy meter in different years. Compared with the prior art, the method has the advantage of accurately, objectively and comprehensively reflecting the actual condition of the electric energy meter.
Description
Technical Field
The invention relates to the field of electric energy meters, in particular to an early warning method for operating an electric energy meter on site.
Background
The operation state of the electric energy meter is determined only from data obtained in the periodic verification process, the data source is single, the actual condition of the electric energy meter cannot be comprehensively reflected, the accuracy and the objectivity of the result cannot well meet the actual condition, and an accurate and reliable early warning method for operating the electric energy meter on site is needed.
The invention with the publication number of CN103942738A discloses a comprehensive evaluation method and a comprehensive evaluation system for an electric energy meter, and the comprehensive evaluation method comprises the steps of constructing an evaluation index system; determining an index weight vector of each evaluation index in the evaluation index system; dividing state comprehensive evaluation results; determining a comprehensive evaluation fuzzy matrix; determining a fuzzy comprehensive evaluation result of the evaluation index according to the comprehensive evaluation fuzzy matrix; and determining the comprehensive state evaluation result of the electric energy meter according to the fuzzy comprehensive evaluation result and the comprehensive state evaluation result. Therefore, comprehensive and accurate comprehensive evaluation can be performed on the electric energy meters in the electric power system.
The method determines the index weight of each evaluation index through an analytic hierarchy process and a specialist method, corrects the index weight according to experience and skill, and lacks corresponding scientific theory and method. The main problem encountered in the practical application of the analytic hierarchy process is the problem of judging the consistency of the matrix, the consistency test ratio C R given by the analytic hierarchy process is less than 0.1, and many experts also question the scientificity of the analytic hierarchy process; even assuming that the criterion of CR <0.1 is acceptable, there may be multiple decision matrices that meet this criterion, the results of which are not unique.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide the early warning method for the field operation of the electric energy meter, which accurately, objectively and comprehensively reflects the actual situation of the electric energy meter.
The purpose of the invention can be realized by the following technical scheme:
an early warning method for operating an electric energy meter on site comprises the following steps:
setting comprehensive evaluation indexes: setting a comprehensive evaluation index of the on-site operation electric energy meter, wherein the comprehensive evaluation index comprises a primary index and a secondary index;
index weight acquisition: acquiring the weights of the first-level index and the second-level index based on a sequence relation analysis method;
an evaluation result acquisition step: evaluating the field operation electric energy meter by adopting a fuzzy comprehensive evaluation method based on the result of the index weight obtaining step to obtain a comprehensive evaluation result;
electric energy meter early warning step: and if the comprehensive evaluation result of the on-site operation electric energy meter is lower than a preset alarm value, sending out an electric energy meter alarm, otherwise, not giving an alarm.
Further, the primary indicators include function, environment, and quality.
When the weight of the evaluation index is obtained, an Analytic Hierarchy Process (AHP) is generally used, and the main problem encountered by the AHP in practical application is the problem of consistency of the judgment matrix, although many researches on the problem of consistency of the AHP judgment matrix are currently performed, such as an empirical estimation method, an optimal transfer matrix method, a vector included angle cosine method, a pattern recognition method, an induction matrix method, an accelerated genetic algorithm and the like, these methods are all used for optimizing or accelerating the convergence of a consistency inspection method on the basis of the original problem, and the problem is not fundamentally solved. Until now, a unified correction mode does not exist, most of AHP is corrected by experience and skill when in practical application, and corresponding scientific theory and method are lacked. Given the AHP criteria of a consistency check ratio C R <0.1, many experts also question their scientificity; even assuming that the criterion of CR <0.1 is acceptable, there may be multiple decision matrices that meet this criterion, the results of which are not unique.
The sequence relation analysis method (G1 method) is characterized in that a judgment matrix does not need to be constructed, consistency check is not needed, and the G1 method does not limit the number of schemes in application. The G1 method can directly calculate a weight coefficient by judging the relative importance ratio.
When the index system is established, the index weight is determined by adopting the G1 method in consideration of the characteristics of the index and the convenience of data acquisition.
Further, the step of obtaining the index weight specifically includes the following steps:
determining the primary index weight: based on an expert method, ranking the first-level indexes, determining a weight importance ratio between two adjacent first-level indexes, and acquiring the weight of the first-level indexes;
determining the secondary index weight: based on an expert method, sequencing the secondary indexes corresponding to a certain one-level index, determining the weight importance ratio between two adjacent secondary indexes, and acquiring the weight of the secondary indexes;
and (3) circulating and traversing: and repeatedly executing the secondary index weight determination step until all primary indexes are traversed.
Further, in the evaluation result obtaining step, the comprehensive evaluation index of the on-site running electric energy meter is evaluated based on a fuzzy comprehensive evaluation method, specifically, a comment level domain is determined, the on-site running electric energy meter is subjected to secondary index evaluation through a specialist method, an evaluation fuzzy matrix is constructed, and the evaluation fuzzy matrix is subjected to synthetic operation based on the weights of the primary index and the secondary index to obtain a comprehensive evaluation result.
Further, the comment level domain V is specifically V ═ good, medium, and poor.
And further, synthesizing and operating the evaluation fuzzy matrix by adopting a Zadeh operator.
Further, in the evaluation result obtaining step, the comprehensive evaluation result is normalized to obtain a comprehensive evaluation result in a score form, so that the comprehensive evaluation result is clear at a glance.
Further, the early warning method further comprises a periodic evaluation step: and executing a comprehensive evaluation index setting step, an index weight obtaining step, an evaluation result obtaining step and an electric energy meter early warning step according to a period to form periodic early warning of the electric energy meter.
Compared with the prior art, the invention has the following advantages:
(1) the early warning method for the on-site operation of the electric energy meter starts from factors such as functions, environment, quality and the like, collects data, widely adopts suggestions and suggestions of related personnel, carries out overall evaluation on the intelligent electric energy meter through an order relation analysis method and a fuzzy early warning method, and has the advantage of accurately, objectively and comprehensively reflecting the actual condition of the electric energy meter.
(2) The early warning method for the on-site operation electric energy meter adopts the sequence relation analysis method to obtain the weight of the index, does not need to construct a judgment matrix, does not need to carry out consistency check, has no limit on the number of the index, can directly calculate the weight coefficient according to the ratio judgment of relative importance degrees, and has the advantages of convenience, reliability and accurate result.
(3) The early warning method for the field operation electric energy meter adopts the fuzzy early warning method to convert the qualitative evaluation into the quantitative evaluation, and has the advantages of clear result and strong systematicness.
(4) The early warning method for the field operation electric energy meter can improve the comprehensive evaluation level of the field operation electric energy meter by operating the field operation electric energy meter in different periods.
Drawings
Fig. 1 is a schematic flow chart of an early warning method for operating an electric energy meter on site according to the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
Example 1
As shown in fig. 1, the embodiment is a method for early warning of on-site operation of an electric energy meter, and the method includes the following steps:
setting comprehensive evaluation indexes: establishing a comprehensive evaluation index of the on-site operation electric energy meter, wherein the comprehensive evaluation index comprises a primary index and a secondary index;
the comprehensive evaluation index of the field operation electric energy meter is shown in table 1.
TABLE 1 evaluation index
Index weight acquisition: acquiring the weights of the first-level index and the second-level index based on a sequence relation analysis method;
the G1 method (sequence relation analysis method) is characterized in that a judgment matrix does not need to be constructed, consistency check is not needed, and the G1 method does not limit the number of schemes in application. The G1 method can directly calculate a weight coefficient by judging the relative importance ratio.
When the index system is established, the embodiment determines the index weight by using the G1 method in consideration of the characteristics of the index and the convenience of data acquisition.
Assume that the set of indices is U ═ U (U)1,u2,…,um). The method G1 of the present embodiment comprises the following steps
(1) Firstly, the expert gives the sequence of each index, and the index set after the sequence is I ═ I (I)1,I2,…,Im) So that IK-1＞IK,K＝2,3,…,m。
(2) The expert gives the ratio of importance between adjacent indicators
The values of the importance ratios are shown in table 2 below.
TABLE 2 criteria for importance of index
(3) The weight of the last mth index is
(4) After the weight of the mth index is obtained, the remaining index weight can be obtained:
the complete weight w ═ is thus obtained (w ═1,w2,…,wm)。
(5) Target layer score:
wherein U is the target layer final score; y isiIs the ith element C in the scheme layeriIs scored.
In this embodiment, the method for obtaining the weights of the first-level index and the second-level index based on the order relation analysis method specifically includes the following steps:
(1) first, the rank of the primary index is determined. And (3) sequencing the primary indexes according to the opinions of experts and participants: functional impact > environmental impact > quality impact.
(2) According to the index importance criterion, the weight importance ratio r of the primary index is determined to be (1.2, 1.4).
(3) Calculating the first-level index weight:
w2＝r3w3＝0.34，w1＝r2w2＝0.41。
(4) the weight w of the ranked next-stage index is obtained as (0.41, 0.34, 0.25).
(5) The secondary indexes are sorted, and the function influence is as follows: the shunt running test > test error > start test; environmental impact: humidity > temperature > insulation level; in the quality impact: the qualified rate of the goods acceptance is equal to the wiring installation condition and the appearance.
(6) Determining the importance ratio r of the functional impact of the secondary index1(1.5, 1.2), importance ratio of environmental influence r2(1.3, 1.1), importance ratio r of quality impact2＝(1.0，1.1)。
(7) Repeating the steps to obtain the weight of the secondary index: index weight w of functional impact1(0.45, 0.3, 0.25), index weight w of environmental impact2(0.41, 0.31, 0.28), mass-affected index weight w3＝(0.34，0.34，0.31)。
In summary, it can be seen that the weight of the primary index is w ═ 0.41, 0.34, 0.25, and the weight of the secondary index is w1＝(0.45，0.3，0.25)，w2＝(0.41，0.31，0.28)，w3＝(0.34，0.34，0.32)。
An evaluation result acquisition step: evaluating the field operation electric energy meter by adopting a fuzzy comprehensive evaluation method based on the result of the index weight obtaining step to obtain a comprehensive evaluation result;
the fuzzy comprehensive evaluation method is an early warning method taking fuzzy mathematics as a core. The method and the device convert qualitative evaluation into quantitative evaluation by mainly using a membership theory in fuzzy mathematics, and are suitable for comprehensively and effectively evaluating an evaluated object influenced by a plurality of factors. It is not limited to precise mathematical language and logic, and has clear result and strong systematicness. The mathematical model can be divided into a single-level evaluation model and a multi-level evaluation model, taking the single-level evaluation model as an example, the fuzzy comprehensive evaluation method of the embodiment comprises the following steps:
(1) the factor domain for determining the evaluation object is a common set consisting of all indexes influencing the evaluated object, namely:
u＝{u1,u2,……,up}
(2) and determining comment grade domains, wherein each grade corresponds to a fuzzy subset and is represented as follows:
v＝{v1,v2,……,vp}
(3) establishing a fuzzy relationship matrix
After the rank-fuzzy subsets are constructed, the evaluated objects are quantified from each evaluation factor, wherein the evaluation factor is expressed as uiI ═ 1,2, … …, p; degree of membership (R | u) to rank fuzzy subsets based on a single factori) Determining a fuzzy relation matrix as follows:
wherein the element rijA factor u representing an object to be evaluatediFor vjFuzzy membership of the classes.
(4) Determining an evaluation factor weight vector, expressed as: a ═ a1,a2,……,ap) Where the element ai is essentially the degree of membership of the factor ui to the fuzzy subset. At this time, an analytic hierarchy process can be adopted to determine the weight among evaluation indexes, and normalization is performed before synthesis, namely:
(5) synthesizing a fuzzy comprehensive evaluation result vector, wherein the formula is as follows:
where bi represents the degree of membership of the evaluated object to the fuzzy subset of vj classes as a whole.
(6) Fuzzy comprehensive evaluation result analysis
And (3) carrying out normalization processing on the vector B, and multiplying the processing result B by the fuzzy evaluation vector V to obtain a comprehensive evaluation result score:
the fuzzy early warning method is suitable for the evaluated object, is a fuzzy concept, has no definite numerical value limit, is limited and influenced by a plurality of factors, has more association among the factors and plays different roles in different stages, and is particularly practical, simple and feasible just because the diversity of the evaluated object is complicated. After an evaluation index system and evaluation index weight are determined, an evaluated object is evaluated, and a result is finally obtained.
In this embodiment, after the weight is determined by the G1 method in the previous step, the reliability of the electric energy meter operating on the spot is evaluated by the comprehensive fuzzy evaluation method, which includes the following steps:
(1) factor domains for determining evaluation objects: the factor domain of reliability evaluation of the field operation electric energy meter is the above-mentioned evaluation index.
(2) Determining comment level domain: v is selected herein as being { good, medium, poor }.
(3) And establishing a fuzzy relation matrix.
The ratio of the number of persons evaluated for the index factor was counted by an evaluation grade survey (expert method) based on the evaluation index, and the results are shown in table 3.
TABLE 3 evaluation of grade index factors
(4) Firstly, secondary index evaluation is carried out, and a Zadeh operator is adopted during the synthesis operation of the fuzzy matrix. Zadeh operation is represented by an M (V, V) operator, and the operation rule is as follows:
① fuzzy evaluation of the functional influence of the secondary index:
② fuzzy evaluation of environmental impact on secondary indicators:
③ evaluation of the equipment quality influence of the secondary indexes:
(5) fuzzy comprehensive evaluation:
summarizing the evaluation results of the single factors to obtain:
therefore, the comprehensive evaluation is as follows:
(6) the evaluation results of the influencing factors are summarized in table 4 according to the maximum membership principle.
TABLE 4 Final evaluation results
| Name (R) | Evaluation of |
| Reliability evaluation of on-site running electric energy meter | Good wine |
| Functional influence | Good wine |
| Environmental impact | Good wine |
| Quality impact | Superior food |
(7) The above results are normalized, and since 0.28+0.34+0.21+0.17 is 1, the normalized result is S ═ 0.28, 0.34, 0.21, 0.17. The evaluation grades were graded as excellent, good, medium, and medium, respectively, with v ═ 95, 85, 70, 55, the results were converted to scores and judged as:
a-S-v-95-0.28 + 85-0.34 + 70-0.21 + 55-0.17-79.55 points
Electric energy meter early warning step: and if the comprehensive evaluation result of the on-site operation electric energy meter is lower than a preset alarm value, sending out an electric energy meter alarm, otherwise, not giving an alarm. In the present embodiment, since the alarm value is set to 60 points and the result of the present integrated evaluation is 79.55 points, no alarm is issued.
In the period evaluation step, electric meters running for 1 year, 3 years and 5 years are respectively adopted to carry out grade evaluation on indexes through tests, special personnel analysis and the like, and evaluation weight determined by G1 and a fuzzy comprehensive evaluation method are used for evaluating and early warning the intelligent electric energy meters running for 1 year, 3 years and 5 years.
4. Analysis of comprehensive evaluation results
By analyzing indexes influencing the reliability of the on-site operation electric energy meter, data collection is mainly carried out on the basis of factors such as functions, environment and quality, suggestions and suggestions of related personnel are widely adopted, the results show that the reliability of the electric energy meter is greatly influenced by functional test results and environmental influence factors, the quality of equipment is strictly controlled before leaving a factory, and the relative influence is small.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (8)
1. An early warning method for operating an electric energy meter on site is characterized by comprising the following steps:
setting comprehensive evaluation indexes: setting comprehensive evaluation indexes of the on-site operation electric energy meter, wherein the comprehensive evaluation indexes comprise a primary index and a secondary index;
index weight acquisition: acquiring the weights of the first-level index and the second-level index based on a sequence relation analysis method;
an evaluation result acquisition step: evaluating the field operation electric energy meter by adopting a fuzzy comprehensive evaluation method based on the result of the index weight obtaining step to obtain a comprehensive evaluation result;
electric energy meter early warning step: and if the comprehensive evaluation result of the on-site operation electric energy meter is lower than a preset alarm value, sending out an electric energy meter alarm, otherwise, not giving an alarm.
2. The early warning method for the field operation of the electric energy meter according to claim 1, wherein the primary indexes comprise functions, environment and quality.
3. The early warning method for the on-site operation of the electric energy meter according to claim 1, wherein the step of obtaining the index weight specifically comprises the following steps:
determining the primary index weight: based on an expert method, ranking the first-level indexes, determining a weight importance ratio between two adjacent first-level indexes, and acquiring the weight of the first-level indexes;
determining the secondary index weight: and sequencing the secondary indexes corresponding to the primary indexes based on an expert method, determining the weight importance ratio between two adjacent secondary indexes, and acquiring the weight of the secondary indexes.
4. The early warning method for the on-site operation electric energy meter according to claim 1, wherein in the evaluation result obtaining step, the comprehensive evaluation index of the on-site operation electric energy meter is evaluated based on a fuzzy comprehensive evaluation method, specifically, a comment grade domain is determined, the on-site operation electric energy meter is subjected to secondary index evaluation through a specialist method, an evaluation fuzzy matrix is constructed, and the evaluation fuzzy matrix is subjected to synthetic operation based on the weights of the primary index and the secondary index to obtain a comprehensive evaluation result.
5. The early warning method for the on-site operation of the electric energy meter according to claim 4, wherein the comment level domain V is V ═ Excellent, good, Medium and poor.
6. The early warning method for the on-site operation of the electric energy meter according to claim 4, characterized in that a Zadeh operator is adopted to carry out synthetic operation on the evaluation fuzzy matrix.
7. The early warning method for the on-site operation of the electric energy meter according to claim 4, wherein in the evaluation result obtaining step, the comprehensive evaluation result is normalized to obtain a comprehensive evaluation result in a score form.
8. The early warning method for the on-site operation of the electric energy meter according to any one of claims 1 to 7, characterized in that the early warning method further comprises a period evaluation step of: and executing a comprehensive evaluation index setting step, an index weight obtaining step, an evaluation result obtaining step and an electric energy meter early warning step according to the period to form periodic early warning on the electric energy meter.
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| CN112434931A (en) * | 2020-11-20 | 2021-03-02 | 首钢京唐钢铁联合有限责任公司 | Evaluation method for operation index of measurement management system |
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