5G RedCap technology full life cycle cost benefit evaluation method, system and device for distribution network automation service, and medium

Abstract

The invention relates to the technical field of electric power communication evaluation, and discloses a 5G RedCap technology full life cycle cost benefit evaluation method, system, equipment and medium for distribution network automation businesses, and the method comprises the steps: constructing a cost database and a distribution network automation business mapping model, setting an evaluation target, and carrying out the evaluation of the 5G RedCap technology full life cycle cost benefit through a cost model. Calculating the comprehensive cost of the 5G RedCap technology in the distribution network automation scene; and setting a full life cycle cost benefit evaluation system, integrating the multi-dimensional influence factors, and generating a benefit comprehensive evaluation result in combination with the comprehensive cost. According to the invention, scientific quantitative evaluation of the full-life-cycle cost benefit of the 5G RedCap technology in a distribution network automation scene can be realized, and communication technology cost benefit evaluation is combined with distribution network automation service characteristics. The construction cost, the operation and maintenance cost, the energy efficiency cost, the cost effectiveness and the like involved in the distribution network automation application of the 5G RedCap technology are subjected to comprehensive quantification and comparative analysis, and the method has the advantages of being comprehensive in evaluation, accurate in quantification, high in practicability and the like.

Description

Technical Field

[0001] This invention relates to the field of power communication assessment technology, and in particular to a method, system, equipment, and medium for evaluating the full lifecycle cost-benefit of 5G RedCap technology for distribution network automation services. Background Technology

[0002] With the continuous improvement of the automation level of power distribution networks, the number of power distribution terminals has experienced explosive growth, placing higher demands on the coverage, reliability, latency, and other indicators of communication networks. 5G RedCap, as a lightweight 5G technology, offers advantages such as low cost, low power consumption, and wide coverage, providing a new solution for power distribution network automation communication.

[0003] However, deploying 5G RedCap networks in distribution network automation scenarios requires significant investment, including costs for base station construction, terminal modules, and network operation and maintenance. Power companies lack scientific evaluation methods to quantify the cost differences between 5G RedCap technology and traditional communication technologies (such as fiber optics, power line carriers, and 4G), making it difficult to make reasonable investment decisions.

[0004] Taking power distribution network fault handling as an example, a large number of FTU terminals need to be deployed on the lines, and each terminal requires a reliable communication connection. Existing assessment methods often only consider equipment procurement costs, ignoring key factors such as operation and maintenance costs and energy efficiency costs, resulting in incomplete and inaccurate assessment results. Summary of the Invention

[0005] In view of the aforementioned existing problems, this invention is proposed. Therefore, this invention provides a method for evaluating the full lifecycle cost-benefit of 5G RedCap technology for distribution network automation services to solve the above problems.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for evaluating the full lifecycle cost-benefit of 5G RedCap technology for distribution network automation services, including: collecting various cost data of distribution network services and constructing a cost database; Construct a distribution network automation service mapping model to obtain the distribution network service characteristics, and map different distribution network automation services to the corresponding 5G RedCap technical requirement parameters; Set evaluation targets, obtain business scenarios and key business parameters, obtain business characteristics corresponding to the evaluation targets based on the business mapping model, and calculate the comprehensive cost of 5G RedCap technology in the distribution network automation scenario based on the cost database and the cost model. A full life-cycle cost-benefit assessment system is established, which integrates multiple influencing factors and combines them with the comprehensive costs to generate a comprehensive benefit assessment result.

[0007] As a preferred embodiment of the 5G RedCap technology full lifecycle cost-benefit evaluation method for distribution network automation services described in this invention, the construction of the cost database includes: Based on the business scenarios of power distribution network operations, statistics are collected on various cost data of base station equipment, terminal modules, network construction, and operation and maintenance services to form a cost database.

[0008] As a preferred embodiment of the 5G RedCap technology full lifecycle cost-benefit evaluation method for distribution network automation services described in this invention, the construction of the distribution network automation service mapping model includes: Based on the terminal type of the distribution network service, determine the service characteristics corresponding to the terminal type; Based on the aforementioned business characteristics, a terminal with a specified duration and application layer data traffic are simulated and generated, and the key performance indicators of the terminal are determined. The beneficial effect of this preferred solution is that by using a service mapping model, the abstract distribution network automation services are transformed into specific communication technology requirements, which makes the evaluation results more closely match the real-world scenarios of power production and significantly enhances its practicality.

[0009] As a preferred embodiment of the 5G RedCap technology full lifecycle cost-benefit evaluation method for distribution network automation services described in this invention, the method includes: setting evaluation targets and calculating comprehensive costs, including: The business content for setting evaluation targets is determined, the business scenario is determined based on the evaluation area of ​​the business content, and the corresponding business characteristics are obtained based on the terminal type of the business content, so as to obtain various cost data through the cost database; A cost model is constructed, which includes a business development cost model and an operation and maintenance cost model. Based on the cost database, the comprehensive cost of the evaluation target is calculated.

[0010] As a preferred embodiment of the 5G RedCap technology full lifecycle cost-benefit evaluation method for distribution network automation services described in this invention, the full lifecycle cost-benefit evaluation system includes: A comprehensive cost-benefit assessment model is constructed, which includes a performance cost-benefit model and an operation and maintenance cost-benefit model, and the total cost-benefit assessment data is calculated based on the technical requirement parameters; A multi-dimensional risk assessment model is constructed to identify risks in distribution network operations, a risk assessment matrix is ​​built, and the risk assessment results are calculated based on the probability of risk occurrence and the scope of risk impact. The beneficial effect of this preferred solution is that it provides a comprehensive quantitative and comparative analysis of the construction costs, operation and maintenance costs, energy efficiency costs, and cost-effectiveness involved in the application of 5G RedCap technology in distribution network automation. It has the characteristics of comprehensive evaluation, accurate quantification, and strong practicality.

[0011] As a preferred embodiment of the 5G RedCap technology full lifecycle cost-benefit evaluation method for distribution network automation services described in this invention, the cost model includes: The business construction cost model is constructed by considering base station costs, terminal costs, core network costs, and deployment costs, and calculates the total construction cost. The operation and maintenance cost model is constructed by combining operation and maintenance costs and electricity consumption costs to calculate the total operation and maintenance cost.

[0012] As a preferred embodiment of the 5G RedCap technology full lifecycle cost-benefit evaluation method for distribution network automation services described in this invention, the comprehensive performance evaluation model includes: The performance improvement data and operation and maintenance improvement data after business configuration are compared with the data before business configuration to obtain the comparison difference, so as to calculate the total cost-benefit.

[0013] Secondly, this invention provides a 5G RedCap technology full lifecycle cost-benefit evaluation system for distribution network automation services, including: The first construction module is used to collect various cost data of power distribution network business and build a cost database; The second construction module is used to build a distribution network automation service mapping model, obtain the distribution network service characteristics, and map different distribution network automation services to the corresponding 5G RedCap technical requirement parameters. The first evaluation module is used to set evaluation targets, obtain business scenarios and key business parameters, obtain business characteristics corresponding to the evaluation targets based on the business mapping model, and calculate the comprehensive cost of 5G RedCap technology in the distribution network automation scenario based on the cost database and the cost model. The second evaluation module is used to set up a full life cycle cost-benefit evaluation system, integrate multi-dimensional influencing factors, and combine them with the comprehensive cost to generate a comprehensive benefit evaluation result.

[0014] Thirdly, the present invention provides a computer device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the 5G RedCap technology full life cycle cost-benefit evaluation method for a distribution network automation service are implemented.

[0015] Fourthly, the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the 5G RedCap technology full lifecycle cost-benefit assessment method for a distribution network automation service.

[0016] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention solves the problem of the lack of a comprehensive lifecycle cost-benefit assessment scheme for 5G RedCap technology in distribution network automation services. It enables a scientific and quantitative assessment of the full lifecycle cost-benefit of 5G RedCap technology in distribution network automation scenarios. It can be applied to typical distribution network automation service scenarios such as fault detection and location, remote control and operation, operational status monitoring, and power quality monitoring. By combining communication technology cost-benefit assessment with the characteristics of distribution network automation services, it comprehensively quantifies and compares the construction costs, operation and maintenance costs, energy efficiency costs, and cost-benefit of 5G RedCap technology in distribution network automation applications. It features comprehensive assessment, accurate quantification, and strong practicality. Attached Figure Description

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the overall process of a method for evaluating the full lifecycle cost-benefit of 5G RedCap technology for distribution network automation services, as described in one embodiment of the present invention. Detailed Implementation

[0019] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0020] Reference Figure 1As an embodiment of the present invention, a method for evaluating the full lifecycle cost-benefit of 5G RedCap technology for distribution network automation services is provided, comprising: S101, collect various cost data of distribution network business and build a cost database; S102, Construct a distribution network automation service mapping model, obtain distribution network service characteristics, and map different distribution network automation services to the corresponding 5G RedCap technical requirement parameters; S103, set evaluation targets, obtain business scenarios and key business parameters, obtain business characteristics corresponding to the evaluation targets based on the business mapping model, and calculate the comprehensive cost of 5G RedCap technology in the distribution network automation scenario based on the cost database and the cost model. S104 establishes a full life-cycle cost-benefit assessment system, integrating multiple influencing factors and combining comprehensive costs to generate a comprehensive benefit assessment result.

[0021] In a preferred embodiment, constructing the cost database includes: Based on the business scenarios of power distribution network operations, statistics are collected on various cost data of base station equipment, terminal modules, network construction, and operation and maintenance services to form a cost database.

[0022] Specifically, by analyzing historical project data, expert experience, and industry standards, various typical business scenarios and their characteristic parameters are predefined. Typical scenarios include rural power distribution, industrial parks, and urban core areas. During technical evaluation, the closest template can be selected as the basis, and then the parameters can be fine-tuned. The cost database is divided according to business scenarios and includes the cost values ​​of various devices, including terminal equipment, base stations, etc. It also includes network construction cost data or operation and maintenance service cost data corresponding to the technical requirement parameters of different terminal types and different service types of terminals. Specifically, it includes but is not limited to the cost of 5G RedCap base stations (AAU / BBU), terminal module costs, core network element costs, tower / data center leasing costs, transmission line leasing costs, engineering installation costs, annual maintenance labor costs, equipment power consumption (watts), local electricity price costs, vehicle operation and maintenance costs, number of regional users, number and geographical distribution of terminals, business traffic logs, historical power outage loss records, cost of a single manual inspection (including transportation and working hours), and estimated cost per unit of power outage loss.

[0023] In a preferred embodiment, constructing a distribution network automation service mapping model includes: Based on the terminal type of the distribution network service, determine the service characteristics corresponding to the terminal type; Based on business characteristics, simulate the terminal's specified duration and application layer data traffic, and determine the terminal's key performance indicators.

[0024] Specifically, a distribution network automation service mapping model is designed to map different distribution network automation services (such as fault handling, load control, and status monitoring) to corresponding 5G RedCap technical requirement parameters, including bandwidth, latency, and reliability. The service mapping model defines service characteristics based on terminal type. For example, the Feeder Terminal Unit (FTU) model includes periodic data upload (100 bytes every 5 minutes), event-driven upload (fault alarm, 2KB / time, probability 0.1% / day), and receiving control commands (100 bytes / time). The Data Transmission Unit (DTU) model's service characteristics are periodic data upload (500 bytes every 1 minute) and remote control commands (100 bytes / time). Then, simulated traffic is generated. Based on the above model, application layer data traffic of a specified duration and terminal scale can be simulated for subsequent network requirement calculations. Simultaneously, key performance indicators (KPIs) are set, pre-setting the technical requirements to be met, such as end-to-end communication latency <100ms, communication reliability >99.99%, and uplink bandwidth >2Mbps / km². These KPIs will serve as constraints on the feasibility of the technical solution.

[0025] In a preferred embodiment, setting the evaluation objective and calculating the overall cost includes: The business content for setting evaluation targets is determined, the business scenario is determined based on the evaluation area of ​​the business content, and the corresponding business characteristics are obtained based on the terminal type of the business content, so as to obtain various cost data through the cost database. A cost model is constructed, which includes a business development cost model and an operation and maintenance cost model. Based on the cost database, the comprehensive cost of the evaluation target is calculated.

[0026] Specifically, the evaluation objective is defined, for example, "Evaluate the cost-effectiveness of deploying a 5G RedCap communication solution for 500 FTUs (Feeder Terminal Units) and 50 DTUs (Distribution Terminal Units) within a 10-square-kilometer distribution network area in Zone A of a certain city over an 8-year lifecycle." This description is parsed, and key parameters are automatically extracted, including terminal type (FTU / DTU), number of terminals (550), coverage area (10 km²), and evaluation period (8 years). Further network scale estimation is performed. Based on the number of terminals, geographical distribution, and traffic models, wireless network planning algorithms (such as link budget based on propagation models) are used to automatically estimate the required number of 5G RedCap base stations. The output result based on the above data is "15 base stations need to be deployed."

[0027] In a preferred embodiment, the cost model includes: The service construction cost model is constructed by considering base station costs, terminal costs, core network costs, and deployment costs to calculate the total construction cost; The operation and maintenance cost model is constructed by combining operation and maintenance costs and electricity consumption costs to calculate the total operation and maintenance cost. The operation and maintenance cost includes operation and maintenance labor costs, maintenance material costs, and leasing costs, etc.

[0028] Specifically, the business development cost model is expressed as follows: in, This represents the total construction cost of the business. Indicates the cost of base stations. This represents the terminal cost, calculated by multiplying the terminal module cost by the number of terminals. Indicates core network cost, This indicates the deployment cost.

[0029] The operation and maintenance cost model is expressed as follows: in, This represents the total cost of operation and maintenance. This represents the annual maintenance labor cost. This indicates the annual maintenance material cost. Indicates annual lease cost, This indicates the annual electricity cost. Indicates the discount rate. 't' represents the number of years, and 't' represents the year.

[0030] The overall business cost of the assessment target is expressed as follows: in, Indicates the total cost of business operations. This indicates the cost of equipment decommissioning and recycling.

[0031] In one alternative implementation, the operation and maintenance cost model can also be constructed based on the cost calculation of tasks. First, all operation and maintenance tasks (such as base station inspection, fault handling, software upgrades, power consumption, etc.) are identified, then the cost factors of the tasks are found, and finally the cost is calculated based on the number of cost factors consumed by each service.

[0032] In another alternative implementation, the operation and maintenance cost model can also be constructed based on parameter predictions from statistical learning, using historical data and machine learning algorithms to predict the values ​​of future cost parameters, predicting cost curves for the next few years through a predictive model for calculation, or predicting non-linear costs due to equipment aging and increased complexity by training a regression model.

[0033] In a preferred embodiment, the life-cycle cost-benefit assessment system includes: A comprehensive cost-benefit assessment model is constructed, which includes a performance cost-benefit model and an operation and maintenance cost-benefit model. The total cost-benefit assessment data is calculated based on the technical requirement parameters. A multi-dimensional risk assessment model is constructed to identify risks in power distribution network operations, and a risk assessment matrix is ​​built. The risk assessment results are calculated based on the probability of risk occurrence and the scope of risk impact.

[0034] In a preferred embodiment, the comprehensive performance evaluation model includes: The performance improvement data and operation and maintenance improvement data after business configuration are compared with the data before business configuration to obtain the comparison difference, so as to calculate the total cost-benefit.

[0035] Specifically, based on the technical requirements parameters of the terminal in the evaluation target, it is possible to estimate the service performance improvement data and operation and maintenance improvement data after configuring 5GRedCap technology on the terminal equipment. In this embodiment, the performance improvement is mainly reflected in the reduction of user power outages and the loss costs avoided compared with traditional services. The operation and maintenance improvement is mainly reflected in the reduction of various operation and maintenance costs.

[0036] The performance-cost-benefit model is expressed as follows: in, Indicates the performance-cost-benefit value. This represents the traditional average power outage duration. This indicates the average outage duration of RedCap technology. Indicates the unit's power outage time loss. Indicates the number of users.

[0037] The operation and maintenance cost-benefit model is expressed as follows: in, This represents the cost-benefit ratio of operation and maintenance. Indicates the number of traditional inspections. This indicates the number of remote inspections performed using RedCap technology. This indicates the cost of a single inspection.

[0038] The comprehensive cost-benefit evaluation model for the evaluation objective is expressed as follows: in, This represents the overall cost-benefit value.

[0039] Furthermore, a multi-dimensional risk assessment model is constructed, defining various risk types for distribution network operations. Based on the equipment and technical parameters in the assessment objectives, multiple risks are predicted and identified. The predicted risks are then assessed from two dimensions: the probability of occurrence and the degree of impact. The probability of occurrence score is defined as follows: very low probability (1 point), low probability (2 points), moderate probability (3 points), high probability (4 points), and very high probability (5 points). The degree of impact score is defined as follows: negligible impact (1 point), small impact (2 points), moderate impact (3 points), large impact (4 points), and catastrophic impact (5 points). The multi-dimensional risk assessment model is expressed as follows: in, This represents the overall risk score. For the number of risk types, The weights for risk i can be set using the analytic hierarchy process (AHP). The probability score representing the occurrence of risk i is given by [the following]. The score represents the degree of impact of risk i.

[0040] In an alternative implementation, the risk assessment results can also be calculated using Monte Carlo simulations. This involves performing a large number of random sampling simulations (e.g., 10,000 times), with each simulation randomly selecting a set of values ​​from the distribution of risk parameters and calculating a set of output results. A probability distribution of the output results is then obtained, and the proportion of probabilities greater than 0 is calculated based on the probability distribution graph as the risk assessment score.

[0041] Furthermore, based on the comprehensive cost, comprehensive cost-benefit analysis, and risk assessment results, a comprehensive benefit assessment result is generated. If the comprehensive cost-benefit is greater than the comprehensive cost, and the comprehensive risk score is less than a threshold (e.g., reaching 70% of the full score), then the project is recommended to adopt 5G RedCap technology. In addition, this invention supports visualization, enabling the evaluation results to be displayed in chart form. It automatically integrates process data, calculation results, and charts from all steps to generate a structured decision support report.

[0042] It should be noted that this invention addresses the lack of a comprehensive lifecycle cost-benefit assessment scheme for 5G RedCap technology in distribution network automation services in existing technologies. It enables a scientific and quantitative assessment of the full lifecycle cost-benefit of 5G RedCap technology in distribution network automation scenarios. This invention can be applied to typical distribution network automation service scenarios such as fault detection and location, remote control and operation, operational status monitoring, and power quality monitoring. By combining communication technology cost-benefit assessment with the characteristics of distribution network automation services, it comprehensively quantifies and compares the construction costs, operation and maintenance costs, energy efficiency costs, and cost-benefit of 5G RedCap technology in distribution network automation applications. It features comprehensive assessment, accurate quantification, and strong practicality.

[0043] The above is an illustrative scheme of a method for evaluating the full lifecycle cost-benefit of 5G RedCap technology for distribution network automation services according to this embodiment. It should be noted that the technical solution of this 5G RedCap technology lifecycle cost-benefit evaluation system for distribution network automation services belongs to the same concept as the technical solution of the aforementioned method for evaluating the full lifecycle cost-benefit of 5G RedCap technology for distribution network automation services. Details not described in detail in the technical solution of the 5G RedCap technology lifecycle cost-benefit evaluation system for distribution network automation services in this embodiment can be found in the description of the technical solution of the aforementioned method for evaluating the full lifecycle cost-benefit of 5G RedCap technology for distribution network automation services.

[0044] This embodiment provides a 5G RedCap technology full lifecycle cost-benefit assessment system for distribution network automation services, including: The first construction module is used to collect various cost data of power distribution network business and build a cost database; The second construction module is used to build a distribution network automation service mapping model, obtain the distribution network service characteristics, and map different distribution network automation services to the corresponding 5G RedCap technical requirement parameters. The first evaluation module is used to set evaluation targets, obtain business scenarios and key business parameters, obtain business characteristics corresponding to the evaluation targets based on the business mapping model, and calculate the comprehensive cost of 5G RedCap technology in the distribution network automation scenario based on the cost database and the cost model. The second evaluation module is used to set up a full life-cycle cost-benefit evaluation system, integrate multiple influencing factors, combine them with comprehensive costs, and generate a comprehensive benefit evaluation result.

[0045] This embodiment also provides a computer device applicable to the full lifecycle cost-benefit assessment of 5G RedCap technology for distribution network automation services, including: The memory and processor are used to store computer-executable instructions and execute computer-executable instructions to implement a 5G RedCap technology full lifecycle cost-benefit evaluation method for distribution network automation services as proposed in the above embodiments.

[0046] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements a 5G RedCap technology full lifecycle cost-benefit assessment method for distribution network automation services as proposed in the above embodiment.

[0047] The storage medium proposed in this embodiment and the 5GRedCap technology full life cycle cost-benefit evaluation method for implementing a distribution network automation service proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0048] Based on the above description of the implementation methods, those skilled in the art can clearly understand that the present invention can be implemented using software and necessary general-purpose hardware, and of course, it can also be implemented using hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk, or optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0049] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for evaluating the cost-effectiveness of a 5G RedCap technology full life cycle of a distribution automation service, characterized in that, The method comprises the following steps: Collecting cost data of power distribution network business to build a cost database; Building a power distribution network automation business mapping model to obtain the characteristics of the power distribution network business and map different power distribution network automation businesses to corresponding 5G RedCap technical requirement parameters; Setting an evaluation target, obtaining a business scenario and a business key parameter, obtaining the business characteristics corresponding to the evaluation target based on the business mapping model, and calculating the comprehensive cost of 5G RedCap technology in the power distribution network automation scenario based on the cost database and a cost model; Setting a life cycle cost benefit evaluation system, integrating multi-dimensional influencing factors, combining the comprehensive cost, and generating a benefit comprehensive evaluation result.

2. The 5G RedCap technology full life cycle cost benefit assessment method for distribution automation services of claim 1, wherein, The cost database is built by: According to the business scenario of the power distribution network business, collecting various cost data of base station equipment, terminal module, network construction and operation and maintenance service to form a cost database.

3. The 5G RedCap technology full life cycle cost benefit assessment method for distribution automation services of claim 1, wherein, The power distribution network automation business mapping model is built by: According to the terminal type of the power distribution network business, determining the business characteristics corresponding to the terminal type; Based on the business characteristics, simulating the generation of terminal specified time length and application layer data flow, and determining the key performance indicators of the terminal.

4. The 5G RedCap technology full life cycle cost benefit assessment method for distribution automation services of claim 3, wherein, Setting an evaluation target and calculating a comprehensive cost includes: Setting the business content of the evaluation target, determining the business scenario according to the evaluation area of the business content, and obtaining the corresponding business characteristics according to the terminal type of the business content to obtain various cost data through the cost database; Building a cost model, the cost model includes a business construction cost model and an operation and maintenance cost model, and calculating the comprehensive cost of the evaluation target based on the cost database.

5. The 5G RedCap technology life cycle cost benefit evaluation method of a network deployment automation service according to claim 4, characterized in that, The life cycle cost benefit evaluation system includes: Building a comprehensive cost benefit evaluation model, the comprehensive performance evaluation model includes a performance cost benefit model and an operation and maintenance cost benefit model, and calculating total cost benefit evaluation data based on technical requirement parameters; Building a multi-dimensional risk assessment model, identifying the risks of the power distribution network business, building a risk assessment matrix, and calculating the risk assessment result through the occurrence probability of the risk and the risk impact range.

6. The 5G RedCap technology life cycle cost-benefit assessment method for distribution automation services of claim 5, wherein, The cost model includes: The business construction cost model is built by base station cost, terminal cost, core network cost and deployment cost to calculate the total construction cost; The operation and maintenance cost model is built by operation and maintenance cost and power consumption cost to calculate the total operation and maintenance cost.

7. The 5G RedCap technology life cycle cost-benefit assessment method for distribution automation services of claim 6, wherein, The comprehensive performance evaluation model includes: Comparing the performance improvement data and operation and maintenance improvement data after business configuration with the data before business configuration to obtain the difference to calculate the total cost benefit. 8.A system for evaluating the cost-benefit of a 5G RedCap technology full life cycle of a distribution automation service, applying the method for evaluating the cost-benefit of a 5G RedCap technology full life cycle of a distribution automation service according to any one of claims 1 to 7, characterized in that, The method comprises the following steps: The first construction module is used for collecting cost data of power distribution network business to build a cost database; The second construction module is used for building a power distribution network automation business mapping model to obtain the characteristics of the power distribution network business and map different power distribution network automation businesses to corresponding 5G RedCap technical requirement parameters; The first evaluation module is configured to set an evaluation target, acquire a business scene and a business key parameter, obtain a business feature corresponding to the evaluation target based on the business mapping model, and calculate a comprehensive cost of the 5G RedCap technology in the distribution network automation scene based on the cost database and through a cost model. The second evaluation module is configured to set a whole life cycle cost benefit evaluation system, integrate multi-dimensional influence factors, combine the comprehensive cost, and generate a benefit comprehensive evaluation result.

9. A computer device, comprising: The method comprises the following steps: a memory and a processor; The memory is configured to store computer executable instructions, and the processor is configured to execute the computer executable instructions, so as to realize the steps of the 5G RedCap technology whole life cycle cost benefit evaluation method for the distribution network automation business according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The memory has stored computer executable instructions, and the processor is configured to execute the computer executable instructions, so as to realize the steps of the 5G RedCap technology whole life cycle cost benefit evaluation method for the distribution network automation business according to any one of claims 1 to 7.

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