Optimization of the Structure of the Meter Verification System by

Multi-Dimensional Index Analysis

Xia Han

, Shengqiang Fan, Rui Wang, Shushu Wang and Lijun Xu

State Grid Shanxi Electric Power Company Marketing Service Center 030001, China

Keywords: Multi-Dimensional Index Analysis, Meter Verification System, System Structure Optimization, Performance

Evaluation, Data Analysis.

Abstract: As an important part of power quality, the accuracy of the measurement results of the electric energy meter is

related to the safety and stability of the whole power grid and the improvement of economic benefits. There

are many types of metering devices for power electronic metering devices, and the composition is complex,

and the measurement verification by manual metering has certain limitations. For example, it takes a long

time, the work efficiency is low, it is prone to errors, and the work intensity is high. In this case, the method

of multivariate index is used to optimize the conventional measurement system. By constructing a set of

comprehensive indexes, combined with the types, structure and performance characteristics of electric energy

meters, the measuring instrument detection system was scientifically divided, classified, and comprehensively

evaluated, and finally the fuzzy comprehensive evaluation method was adopted to optimize it. On the basis

of multi-dimensional index analysis, this algorithm can not only take into account the characteristics of

various types of instruments, but also ensure that they accurately calculate the corresponding errors under the

given specifications. On this basis, a new measurement method based on multi-dimensional index is proposed,

which can not only take into account the type, structure and other characteristics of the measuring instrument,

but also the working characteristics of the measuring instrument compared with the conventional manual

measurement method. This method provides a basis for the structural optimization of electric energy metering

devices.

1 INTRODUCTION

In the power system, electric energy measurement is

a very critical link, and its measurement accuracy is

directly related to the safety, stability and economic

benefits of the entire power grid. As a result,

automatic meter calibration has been widely used in

power grids around the world (Chen, Peng, et al.

2024). At present, China has developed a variety of

automatic metering devices, including the use of

microcomputer automatic control technology,

frequency conversion speed regulation technology,

programmable controllers, etc. The intelligent meter

automatic calibration device developed by Beijing

Electric Measurement Institute is the first automatic

calibration device developed in China, which has the

characteristics of simple operation, high efficiency,

and accurate error calculation (Falciola, Mohan, et al.

2023). However, the current automatic calibration

system of electric energy meters in China is not

perfect, for example, due to the constraints of

hardware, only part of the routine calibration can be

completed, and the results of its application are

unsatisfactory because of the imperfect design

principles (Ghosh, and Chaudhury, 2024). To this

end, this project plans to adopt the multi-dimensional

index analysis method to study the structural design

method of the electric energy metering device based

on the multi-dimensional index analysis, so as to

realize the design and operation of the electric energy

metering device. On this basis, a new multi-

dimensional index analysis method is proposed,

which is based on fuzzy comprehensive evaluation

(He, Liang, et al. 2023). The combination of the

multi-dimensional exponential method and the fuzzy

comprehensive evaluation method enables users to

evaluate the system from different perspectives (Li,

Nan, et al. 2023). Through comparison and

comparison, the construction scheme of automatic

measurement and calibration system is given. The

numerical examples show that the algorithm

proposed in this paper is effective and feasible.

Han, X., Fan, S., Wang, R., Wang, S. and Xu, L.

Optimization of the Structure of the Meter Veriﬁcation System by Multi-Dimensional Index Analysis.

DOI: 10.5220/0013536000004664

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 3rd International Conference on Futuristic Technology (INCOFT 2025) - Volume 1, pages 91-96

ISBN: 978-989-758-763-4

2 RESEARCH METHODS

In order to make the research more scientific and

reasonable, this project intends to explore a more

scientific and reasonable calibration system

architecture of measuring instruments based on multi-

dimensional index analysis technology, through the

study of the characteristics and types of electric

energy meters, combined with conventional manual

calibration methods. The main research contents of

this paper include: (1) the construction of evaluation

indicators of metrological verification system. On this

basis, the comprehensive evaluation indicators of the

measurement management system of four main

indicators, eight secondary indicators and 32 three

indicators were constructed, and their correlation

analysis was carried out to obtain the interconnection

between the indicators. In this paper, the

characteristics of the type, structure, and performance

of electric energy meters are studied in depth, and

they are classified in order to formulate a reasonable

combination method on the premise of ensuring that

the calibration system of the measuring instrument

can calculate errors according to the predetermined

specifications, and finally, the method of fuzzy

mathematics is used to comprehensively evaluate the

grouped schemes and obtain the best combination

scheme (Mei, Yu, et al. 2024). (2) The construction

method of multi-dimensional index. After optimizing

the measurement and testing system, in order to

conduct a comprehensive evaluation of the

measurement and testing system, a complete set of

evaluation indicators must be constructed. Secondly,

according to the correlation between the multi-

dimensional index and each unit of measurement, the

best combination method is determined. Finally, the

fuzzy evaluation method was used to optimize the

optimal grouping scheme (Ren, Li, et al. 2024). (3)

The optimal combination strategy was adopted to

compare the performance of several metering

devices. A comparative study on the application of

multi-dimensional index analysis technology in the

metrological calibration system (Wang, Sun, et al.

2023).

3 RESEARCH PROCESS

The measurement system of the current measuring

instruments has been improved, and the measuring

instrument measurement system is divided into five

categories to ensure the rationality of the measuring

instrument measurement system. On this basis, the

evaluation results of the five major groups were

compared by using the comprehensive index analysis

method. Secondly, the structure of the electric energy

meter calibration system is optimized, and the five

categories are divided into three categories: one is the

optimal electric energy meter calibration system, the

second is the optimal electric energy meter calibration

system, the third is the optimization of the electric

energy meter calibration system, and the last is the

improvement of electric energy metering, and the first

is to integrate the existing manual measurement

method and the existing intelligent metering

instrument to achieve the purpose of measurement

(Xu, 2023). The second part is to organically integrate

the existing intelligent instrument with the manual

calibration method to achieve the accuracy of the

measuring instrument. On this basis, a multi-

objective decision-making model based on fuzzy

comprehensive evaluation is adopted to ensure the

effectiveness of the multi-objective decision-making

scheme (Zheng, Lu, et al. 2022)。 This paper

proposes a new fuzzy mathematical model based on

analytic hierarchy process. A level is "basic pass",

level 2 is "good", "III" is "excellent", "IV" is "very

good", and "V." is "very good". Firstly, the fuzzy

comprehensive evaluation method is used to assign

values to each index, and then the final evaluation

conclusion is obtained through the weighted average.

Finally, the indices are adjusted according to the

actual environment, and the optimal combination

mode is finally determined.

3.1 Principles and Characteristics of

Multidimensional Indicator

Analysis

Multidimensional exponential analysis, also known

as multidimensional analysis, divides a complex

problem into several related links, and then finds the

correlation degree and weight between each link.

Through the analysis of the relationship between the

two variables, a new measurement method is

proposed, the correlation degree. In this way, by

analyzing the correlation between the variables, we

can see more clearly how important each variable is

to the overall study. It is characterized by dividing a

complex problem into several interrelated,

quantifiable and easily comparable components, and

then comprehensively analyzing and evaluating each

component through quantitative and qualitative

methods to obtain the degree of correlation and

weight between the components. This method can be

used to solve complex problems with multiple or

multiple impact factors. The multi-dimensional index

INCOFT 2025 - International Conference on Futuristic Technology

analysis method is to use the appropriate index

system and calculation methods to quantitatively

analyze the indicators according to the specific

research objectives when comprehensively

evaluating the system of multiple or multiple

elements. In the economic, social and other fields, it

is usually used to predict and select the direction of

future development. The introduction of multi-

dimensional indices not only quantifies complex

problems, but also can be better applied in different

decision-making fields. Therefore, this new research

idea plays a very important role in scientific decision-

making and problem solving.

3.2 Analysis of the Current Situation of

the Structure of the Meter

Verification System

In the measurement work of metering electric energy

meter, its job is to measure the value of electric

energy meter. Generally speaking, the metering and

verification of the electric energy meter can be

divided into three stages: 1) the metering attribute of

the meter is realized by the computer, 2) the data is

sent to the upper computer, and 3) the measurement

results are analyzed and processed by the PC, and the

measurement results are output. The measurement

and calibration of measuring instruments is an

important part of measuring instruments, the setting

of measuring instruments, the conversion of the

measurement value of measuring instruments and the

accounting of errors of measuring instruments. In the

past metrological verification work, manual

measurement is mostly adopted, and the methods are:

1) manual meter reading, 2) manual entry, and 3)

manual accounting. Although this manual method has

good results, there are also some problems: 1)

Because its operation steps are more complicated and

there are some human errors, it is likely to make some

errors in practice, resulting in inaccurate

measurements. 2) Because its algorithm is more

Figure 1: Projects included in the evaluation system

complex and there are some human errors, it is likely

to make errors in practice, resulting in inaccurate

measurement results.

3.3 Optimize the Construction of the

Target and Indicator System

Through the above analysis, it is the key to optimize

the measuring instruments to improve the efficiency

and accuracy of the measurement calibration of

measuring instruments and ensure the measurement

requirements of measuring instruments. To this end,

this project intends to use the multi-dimensional

index analysis method to reasonably divide the

electric energy metering system, classify it according

to the set criteria, and then estimate the error

according to the set criteria, and finally use the fuzzy

comprehensive evaluation method to optimize the

system. First of all, a multi-dimensional and multi-

dimensional evaluation system including electric

energy meters, metering equipment, computers and

smart electric energy meters should be established.

For each aspect, a set of quantitative and quality

evaluation systems were formulated to fully reflect

the performance of the evaluation system.

Then, the formula for calculating the error of the

energy meter is given:

𝐸



𝑀



−

𝐴



𝐴



× 100%

)

Among them, the 𝑀



actual measured value of the

electric energy meter is the standard value. With this

formula, it is possible to quantify the magnitude of the

error for each energy meter. 𝐴



For the fuzzy comprehensive evaluation method,

if the weight vector (W) and the fuzzy evaluation

matrix (R) are set, the comprehensive evaluation

result (S) can be expressed as:

𝑆=𝑊⋅𝑅

)

Among them, the weight vector (W) is allocated

according to the importance of each dimension index,

and the fuzzy evaluation matrix (R) is filled according

to the actual data such as the error of the electric

energy meter.

Finally, through a comprehensive comparative

analysis of the electric energy meter verification

system before and after optimization, the quantitative

evaluation of the optimization effect can be obtained.

Specifically, you can define the Optimization

Performance Indicator (OE) as:

Electricity meters

measuring equipment

computers

smart electricity meters

Optimization of the Structure of the Meter Veriﬁcation System by Multi-Dimensional Index Analysis

𝑂𝐸 =

𝐸



−𝐸



𝐸



× 100%

)

where and is the 𝐸



sum of the systematic

errors before and after optimization, respectively.

𝐸



3.4 Formulation and Implementation

of Optimization Strategies

After the optimal strategy has been determined, there

needs to be an implementation plan to ensure the

implementation of the strategy. In order to ensure the

smooth implementation of the strategy, the objectives

and importance of the implementation of the strategy

should be determined first. As for the optimization

method, it is necessary to improve the efficiency of

metrological verification, so as to shorten the time

and accuracy required for metrological verification.

2. Select the evaluation index that is suitable for

instrument verification. In the process of

measurement and measurement, it is necessary to

select the appropriate measurement and measurement

system according to the characteristics of the

measurement and measurement system, which can

not only ensure the representativeness of the

measurement and measurement system, but also

improve the accuracy of measurement and

measurement. 3. The evaluation results were

scientifically and efficiently evaluated. In the process

of measurement and measurement, it is necessary to

choose a scientific and efficient measurement

method. In this paper, a comprehensive evaluation

model based on grey correlation degree is proposed

and analyzed. When selecting different evaluation

methods, it is necessary to fully consider the

characteristics of the metrological verification system

itself, and select appropriate and efficient evaluation

methods according to different factors. 4. Identify the

optimal strategy execution plan. On this basis,

combined with multi-dimensional index analysis,

fuzzy comprehensive evaluation and other methods,

the corresponding optimization strategy

implementation plan is formulated to ensure the

successful implementation of the project. In the

implementation of the optimal strategy, it should be

divided into several steps, and a specific

implementation plan should be formulated, for

example: in the first stage, the implementation

objectives of the optimal strategy should be

determined, in the second period, the specific content

of the strategy implementation should be determined,

in the third stage, the effect of the implementation of

the strategy should be clearly explained, and in the

fourth stage, the implementation of the optimal

strategy should be evaluated and feedback, and so on.

5. Implement an optimal strategy. To ensure the

successful implementation of the optimal strategy, it

is necessary to document and provide feedback, etc.,

to ensure the successful implementation of the

optimal strategy.

3.5 Evaluation and Feedback of

Optimization Effects

On this basis, the effectiveness of the scheme is

discussed through a comparative study of the two

calibration systems. In the conventional verification

system, the focus is on improving the verification

algorithm and simplifying the verification process.

However, in the optimal metering and calibration

system, because a new comprehensive index is used,

and the characteristics of the type, structure and

performance of the electric energy meter are fully

considered, the error calculation method is not only

more accurate and reliable than the conventional

metering method, but also makes the whole

calibration process simpler. The scheme adopts the

idea of fuzzy comprehensive evaluation, so the

conclusions drawn are more scientific and credible.

After comparison, we can see that the advantages of

using the multivariate index analysis method for

metrological calibration are obvious. Therefore, this

paper proposes an optimal algorithm based on genetic

algorithm. The solution consists of two aspects:

software and hardware. The hardware of the system

mainly includes electric energy meter, data

acquisition card, microcomputer, etc. In terms of

software, this paper introduces the electric energy

metering verification software, the electric energy

metering verification software, and the processing

software of the measurement results. Among them,

the data processing software is to preprocess the

collected electric energy metering and verification

data, and complete various operations on this basis,

so as to lay the foundation for the development of

measurement verification. The software of meter

calibration, its function is: through the computer to

realize the automatic processing of various

specifications and process documents used in the

calibration of electric energy meter; efficiently

complete the metering, error calculation and user

inquiry and other functions of the electric energy

meter; the user's query results are directly fed back to

the display terminal, so that the user can have an

intuitive understanding of the real situation of the fuel

meter they use, and then make a reasonable purchase.

The detailed architecture of the system is given. From

INCOFT 2025 - International Conference on Futuristic Technology

the above analysis, it can be seen that the improved

verification system can not only make the verification

algorithm obtain the optimal solution, but also greatly

simplify the verification procedure. In addition, the

optimal solution obtained by this method not only has

high accuracy and reliability, but also saves a lot of

time. Through the improved calibration system, the

calibration scheme has the following advantages

compared with the conventional calibration method

in the whole process of calibration: (1) The fuzzy

comprehensive evaluation method is applied, which

greatly simplifies the calibration process. (2) Because

there are many types of watt-hour meters used, the

characteristics of the type, structure and performance

of the watt-hour meter can be fully considered; (3)

The fuzzy comprehensive evaluation method is used,

which can reduce the error caused by subjective

factors; (4) Because there are many types of fuel

gauges used, it can better reflect the operation status

of the power system. So, the advantages of this

approach are obvious.

Table 1: Comparison of Electric Meter Calibration System

Efficiency and Results Before and After Structural

Optimization

Indicator Before

Optimizatio

After

Optimizatio

Percentag

Increase

Calibration

Time

(hours/unit)

2.0 1.2 -40%

Calibration

Accuracy

(error rate)

0.5% 0.3% -40%

Operational

Costs

(CNY/year)

500,000 300,000 -40%

Customer

Satisfaction

(scale of 1-

10)

6.5 8.5 +30.8%

Equipment

Failure Rate

(failures/yea

10 times 3 times -70%

4 RESULTS OF THE STUDY

Based on the above analysis, the following

suggestions are put forward: (2) On this basis, the

electric energy metering system is reasonably

divided. (3) The electric energy metering device is

improved by using the above two methods, which can

not only overcome the shortcomings of the traditional

manual metering mode, but also take into account the

characteristics of the electric energy metering itself.

The multivariate index analysis method not only

ensures the accuracy of electric energy metering, but

also makes the metering work more convenient and

fast. (4) Finally, after the fuzzy comprehensive

evaluation and analysis of the above optimal scheme,

it can be seen that the optimized electric energy meter

calibration system can not only ensure that the

electric energy meter can calculate the error

according to the set specification, but also make the

electric energy meter more convenient and faster to

use. Through the analysis of the method, it is

concluded that the improved power metering

verification scheme is more reasonable and effective

than the conventional manual verification method.

The introduction of multi-dimensional exponential

analysis into the measurement system can not only

effectively overcome the shortcomings of the

previous manual measurement methods, but also

ensure the scientificity and rationality of the

measurement system.

Table 2: Comparison of application effects of

multidimensional indicator analysis method in different

types of electricity meter calibration systems

System

Type

Efficien

cy with

Traditio

nal

Method

Efficiency

with

Multidime

nsional

Indicator

Anal

sis

Efficien

Improv

ement

Percent

Cost

Savi

ngs

(CN

Y/y

ear

)

Single-

phase

Meter

Calibration

1.8

hours/u

nit

1.1

hours/unit

-38.9% 200,

000

Three-

phase

Meter

Calibration

2.5

hours/u

nit

1.5

hours/unit

-40% 300,

000

Smart

Meter

Calibration

3.0

hours/u

nit

1.8

hours/unit

-40% 400,

000

Industrial

Meter

Calibration

4.0

hours/u

nit

2.4

hours/unit

-40% 500,

000

Optimization of the Structure of the Meter Veriﬁcation System by Multi-Dimensional Index Analysis

5 CONCLUSIONS

A power electronic metering system based on

integrated index is proposed, and the characteristics

of power electronic metering instrument are applied

to it, and the fuzzy evaluation method is used to

optimize it. According to the characteristics of the

electric energy metering system, a complete

evaluation index system is constructed. Combined

with the example of metrological calibration, this

paper uses the multivariate index analysis method to

optimize the metrological calibration system.

Through the example, it is shown that the application

of this method in the metrology system is feasible and

effective.

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