Energy internet service and 5G technology suitability evaluation method

Abstract

The invention discloses an energy internet service and 5G technology suitability evaluation method, which belongs to the technical field of energy adaptation, and comprises the following steps: analyzing services, and proposing various index requirements of the services; analyzing a power internet wireless communication service performance demand as a reference sequence; performing dimensionless processing on the performance value which can be reached by the communication technology to obtain a dimensionless technical performance parameter sequence; calculating the maximum and minimum absolute difference between the single performance parameter sequence of each technology and the optimal parameter in the reference sequence; calculating a correlation coefficient, and further calculating the correlation coefficient of the single performance parameter of each technology and the reference sequence according to the result of the step 4; determining a value factor according to the service type; the correlation coefficients are weighted and summed by corresponding value factors to obtain the relative integrating degree of the technology and the corresponding technology; and sorting according to the relative integrating degrees of the technologies to obtain a technical policy which is most matched with each service type. According to the invention, a convenient and accurate evaluation method is provided for the adaptation of the energy internet service and the 5G technology.

Description

Technical Field

[0001] The present invention relates to the field of energy adaptation technology, and specifically to a method for evaluating the compatibility of energy Internet services and 5G technology. Background Art

[0002] The matching of power business communication requirements and 5G technology mainly involves matching analysis of the performance requirements of the wireless communication services of the power energy Internet with the performance parameters of the three major 5G technical solutions, quantitatively evaluating and comparing the satisfaction of each technical solution with the business communication performance requirements, and providing a basis for the design of the 5G wireless communication system of the power energy Internet. Among them, network performance mainly includes speed, latency, reliability, and connection density. The matching of services and technologies follows the principles of systematicity, objectivity, comparability, and practicality.

[0003] Systematic principle: Taking different types of messages in each business as the target, it is necessary to reflect the overall impact of all factors on the final decision-making goal, attach importance to the hierarchy and correlation of factors in each dimension of the decision-making problem, and reflect the internal correlation of technology selection under different business systems.

[0004] Principle of objectivity: The screening, classification, analysis and evaluation of decision-making indicators should adopt scientific and procedural methods. The weight of each indicator in the indicator system should be objectively determined according to the urgency of each decision-making indicator, and the evaluation suggestions of experts in the field should be comprehensively considered and adopted to avoid subjective arbitrariness as much as possible.

[0005] Comparability principle: The decomposition and design of each sub-goal should pay attention to both the horizontal comparison of the nature of the business system and the performance requirements of the communication parties, and the vertical matching degree of each communication technology to each requirement.

[0006] Principle of practicality: The design of each decision-making indicator should be clear in meaning, easy to calculate, consistent with the current statistical indicator caliber of State Grid, and easy to collect data.

[0007] Based on this, there is an urgent need for a method to evaluate the compatibility of energy Internet services and 5G technology. Summary of the invention

[0008] In view of this, the present invention aims at the deficiencies of the prior art and provides a method for evaluating the compatibility of energy Internet services with 5G technology.

[0009] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method for evaluating the compatibility of energy Internet services and 5G technology, comprising the following steps:

[0010] Step 1: Analyze the business and propose various business indicator requirements;

[0011] Step 2: Analyze the performance requirements of the power Internet wireless communication service as a reference sequence;

[0012] Step 3: Perform dimensionless processing on the performance values ​​that can be achieved by the communication technology to obtain a dimensionless technical performance parameter sequence;

[0013] Step 4: Calculate the maximum and minimum absolute differences between the single performance parameter sequence of each technology and the optimal parameters in the reference sequence;

[0014] Step 5: Calculate the correlation coefficient. According to the result of step 4, further calculate the correlation coefficient between the single performance parameter of each technology and the reference sequence;

[0015] Step 6: Determine the value factor based on the business type;

[0016] Step 7: Weight the correlation coefficient with the corresponding value factor to obtain the relative fit between the technology and the corresponding technology;

[0017] Step 8: Sort the technologies by relative suitability and, based on actual business conditions, come up with the technology policy that best suits each business type.

[0018] Furthermore, in step 1, the business indicator requirements include four indicators: rate, latency, reliability, and connection density.

[0019] Furthermore, in step 2, the reference sequence consists of the demand value of the smart grid wireless communication service, denoted as x o ={x o1 ,x o2 ,…,x op}.

[0020] Furthermore, in step 3, the dimensionless processing is:

[0021]

[0022] Furthermore, in step 4, the absolute difference sequence between each technical performance parameter sequence and the optimal reference sequence is calculated:

[0023] Δ ij =|x′ ij ―1|,i=1,2,…,n; j=1,2,…,p;

[0024] The maximum difference Δ(max) and the minimum difference Δ(min) between the two poles are calculated as follows:

[0025] Δ(max)=max i max j (Δ ij ),Δ(min)=min i min j (Δ ij ).

[0026] Furthermore, in step 5, the correlation coefficient ξ ij The correlation coefficient between the jth performance parameter of the i-th wireless communication technology and the optimal index is calculated as follows:

[0027]

[0028] Further, in step 6, the value factor of each business type is determined based on empirical value evaluation.

[0029] Furthermore, in step 7, the correlation coefficients of each performance parameter are weighted and summed according to the value factor to obtain the degree of fit γ between the evaluation technology i and the reference sequence. oi for:

[0030]

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] The present invention proposes a method for evaluating the adaptability of energy Internet services and 5G technologies. The method is guided by the grey correlation analysis theory and based on a comprehensive evaluation method of expert judgment. First, a reference sequence is determined, and then the performance values ​​achievable by the communication technology are dimensionally processed to obtain a dimensionless technical performance parameter sequence. The maximum and minimum absolute differences and correlation coefficients of the single performance parameters of each technology and the optimal parameters in the reference sequence are calculated. Then, the value factor of each service type is determined by empirical values, and the correlation coefficient is weighted and summed with the corresponding value factor to obtain the relative fit of the technology with the corresponding technology. The technologies are sorted according to their relative fit and combined with the actual business situation to obtain the technical policy that best fits each service type, thereby providing a convenient and accurate evaluation method for the adaptation of energy Internet services and 5G technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flow chart of a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0035] Example

[0036] like Figure 1 As shown, a method for evaluating the compatibility of energy Internet services with 5G technology includes the following steps:

[0037] Step 1: Analyze the business and propose various business indicator requirements; business indicator requirements include four indicators: rate, latency, reliability, and connection density.

[0038] Step 2: Analyze the performance requirements of the power Internet wireless communication service as a reference sequence;

[0039] The reference sequence will be the standard value of comprehensive evaluation, which consists of the demand value of smart grid wireless communication services, denoted as x o ={x o1 ,x o2 ,…,x op}, x0 constitutes a relatively idealized optimal sample.

[0040] Step 3: Perform dimensionless processing on the performance values ​​that can be achieved by the communication technology to obtain a dimensionless technical performance parameter sequence;

[0041] Dimensionless processing:

[0042]

[0043] The dimensionless processing of performance parameters can reflect the differences in the degree of variation of various network technology performance parameters, and also contains information on the differences in the degree of mutual influence of various parameters, which is conducive to the accuracy and comprehensiveness of the evaluation process. Considering that some technical solutions will exceed the demand value of smart grid wireless services in a single performance, and the excess part cannot improve the evaluation of the technology, therefore, in the dimensionless process, the performance indicators that exceed the business requirements are regarded as equal to the demand value.

[0044] Step 4: Calculate the maximum and minimum absolute differences between the single performance parameter sequence of each technology and the optimal parameters in the reference sequence;

[0045] Calculate the absolute difference between each technical performance parameter sequence and the optimal reference sequence:

[0046] Δ ij =|x′ ij ―1|,i=1,2,…,n; j=1,2,…,p;

[0047] The maximum difference Δ(max) and the minimum difference Δ(min) between the two poles are calculated as follows:

[0048] Δ(max)=max i max j (Δ ij ),Δ(min)=min i min j (Δ ij ).

[0049] Step 5: Calculate the correlation coefficient. According to the result of step 4, further calculate the correlation coefficient between the single performance parameter of each technology and the reference sequence;

[0050] Correlation coefficient ξ ij The correlation coefficient between the jth performance parameter of the i-th wireless communication technology and the optimal index is calculated as follows:

[0051]

[0052] Step 6: Determine the value factor based on the business type;

[0053] The value factor for each business type is determined based on empirical evaluation.

[0054] Step 7: Weight the correlation coefficient with the corresponding value factor to obtain the relative fit between the technology and the corresponding technology;

[0055] The correlation coefficients of each performance parameter are weighted and summed according to the value factor to obtain the degree of fit between the evaluation technology i and the reference sequence γ oi for:

[0056]

[0057] The degree of fit is the characteristic value of the degree of fit between wireless communication technology and smart grid business based on the gray system. The larger the value of the degree of fit, the higher the degree of fit between the technology and smart grid business. The relevant departments can compare and rank the various wireless communication technologies according to the degree of fit to obtain the best technical solution for carrying specific smart grid business.

[0058] Step 8: Sort the technologies by relative suitability and, based on actual business conditions, come up with the technology policy that best suits each business type.

[0059] The method for evaluating the compatibility of energy Internet services and 5G technology of the present invention adopts the grey system evaluation method to evaluate the compatibility of 5G communication network solutions and wireless communication services of power Internet. The grey system evaluation method is guided by the grey correlation analysis theory and is a comprehensive evaluation method based on expert judgment. The research object of the grey system theory is the "poor information" uncertainty system where "part of the information is known and part of the information is unknown". It determines the unknown information of the system by analyzing part of the known information. Its biggest feature is that it has no strict requirements on the sample capacity and does not need to obey any distribution.

[0060] Various energy Internet services mainly meet their differentiated service quality requirements through 5G network slicing. Using the evaluation method of the present invention, the compatibility conclusions of various energy Internet services and 5G network slicing are shown in the following table:

[0061] Table 1 Evaluation results of typical power services and network slice adaptability

[0062]

[0063] The above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art can still modify or make equivalent substitutions to the specific implementations of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention are within the scope of protection of the claims of the present invention.

Claims

1. A method for evaluating the compatibility of energy Internet services with 5G technology, characterized in that: The following steps are involved: Step 1: Analyze the business and propose various business indicator requirements; Step 2: Analyze the performance requirements of the power Internet wireless communication service as a reference sequence; Step 3: Perform dimensionless processing on the performance values ​​that can be achieved by the communication technology to obtain a dimensionless technical performance parameter sequence; Step 4: Calculate the maximum and minimum absolute differences between the single performance parameter sequence of each technology and the optimal parameters in the reference sequence; Step 5: Calculate the correlation coefficient. According to the result of step 4, further calculate the correlation coefficient between the single performance parameter of each technology and the reference sequence; Step 6: Determine the value factor based on the business type; Step 7: Weight the correlation coefficient with the corresponding value factor to obtain the relative fit between the technology and the corresponding technology; Step 8: Sort the technologies by relative suitability and, based on actual business conditions, come up with the technology policy that best suits each business type.

2. The method for evaluating the compatibility of energy internet services with 5G technology according to claim 1 is characterized in that: In step 1, the business indicator requirements include four indicators: rate, latency, reliability, and connection density.

3. The method for evaluating the compatibility of energy internet services with 5G technology according to claim 2 is characterized in that: In step 2, the reference sequence consists of the demand values ​​of the smart grid wireless communication services, denoted as x o ={x o1 ,x o2 ,…,x op }.

4. The method for evaluating the compatibility of energy internet services with 5G technology according to claim 3 is characterized in that: In step 3, the dimensionless processing is:

5. The method for evaluating the compatibility of energy internet services with 5G technology according to claim 4 is characterized in that: In step 4, the absolute difference between each technical performance parameter sequence and the optimal reference sequence is calculated: Δ ij =|x′ ij ―1|,i=1,2,…,n;j=1,2,…,p; The maximum difference Δ(max) and the minimum difference Δ(min) between the two poles are calculated as follows: Δ(max)=max i max j (D ij ),Δ(min)=min i minutes j (D ij )。 6. The method for evaluating the compatibility of energy internet services with 5G technology according to claim 5 is characterized in that: In step 5, the correlation coefficient ξ ij The correlation coefficient between the jth performance parameter of the i-th wireless communication technology and the optimal index is calculated as follows:

7. The method for evaluating the compatibility of energy internet services with 5G technology according to claim 6 is characterized in that: In step 6, the value factor for each business type is determined based on empirical evaluation.

8. The method for evaluating the compatibility of energy internet services with 5G technology according to claim 7 is characterized in that: In step 7, the correlation coefficients of each performance parameter are weighted and summed according to the value factor to obtain the degree of fit γ between the evaluation technology i and the reference sequence oi for:

Images