CN114240031A - 5G network bearing quality evaluation method facing power service - Google Patents
5G network bearing quality evaluation method facing power service Download PDFInfo
- Publication number
- CN114240031A CN114240031A CN202111310748.8A CN202111310748A CN114240031A CN 114240031 A CN114240031 A CN 114240031A CN 202111310748 A CN202111310748 A CN 202111310748A CN 114240031 A CN114240031 A CN 114240031A
- Authority
- CN
- China
- Prior art keywords
- service
- network
- evaluation
- power
- quality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013441 quality evaluation Methods 0.000 title claims abstract description 62
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000011156 evaluation Methods 0.000 claims abstract description 101
- 238000004088 simulation Methods 0.000 claims abstract description 61
- 238000012360 testing method Methods 0.000 claims abstract description 30
- 238000012545 processing Methods 0.000 claims abstract description 16
- 239000002131 composite material Substances 0.000 claims abstract description 12
- 238000005259 measurement Methods 0.000 claims abstract description 12
- 238000013210 evaluation model Methods 0.000 claims abstract description 10
- 230000005540 biological transmission Effects 0.000 claims description 71
- 238000004519 manufacturing process Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000004891 communication Methods 0.000 claims description 8
- 238000010606 normalization Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 4
- 238000013209 evaluation strategy Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 238000012800 visualization Methods 0.000 claims description 3
- 238000001303 quality assessment method Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 3
- 230000000977 initiatory effect Effects 0.000 abstract 1
- 238000012423 maintenance Methods 0.000 description 10
- 238000005457 optimization Methods 0.000 description 7
- 230000000295 complement effect Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000011158 quantitative evaluation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000001934 delay Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G06Q50/60—
Abstract
The invention discloses a 5G network bearing quality evaluation method facing to power service. The method aims to solve the problem that the quality is difficult to be viewed from a network angle and the actual service state of the service is difficult to be reflected comprehensively and truly in the prior art; the invention comprises the following steps: s1: initiating a network quality evaluation request; s2: selecting a specific service simulation function and configuring service characteristic parameters; s3: sending an evaluation test packet, and accessing to a power service simulation master station system; s4: the power business simulation master station system collects data collected by a field side terminal, and obtains a business index actual measurement data result through data processing; s5: repeatedly executing the steps S1-S4 until the service evaluation of various services is completed; s6: and calculating a quality evaluation summary value of the power service carried by the 5G network according to the four-level composite weighted evaluation model facing the power service. The effect and the quality of the 5G network for bearing the electric power service are accurately reflected, and the expansion and the extension of the network quality evaluation from the technical evaluation to the service evaluation are realized.
Description
Technical Field
The invention relates to the field of power communication, in particular to a power service-oriented 5G network bearing quality evaluation method.
Background
The network quality evaluation refers to comprehensive evaluation of the network performance and the construction quality of the mobile wireless network by using an automatic test means; evaluating end-to-end and customer-aware service and network quality conditions; analyzing network performance, network perceived by clients and short board area and short board indexes of service quality, wherein the main indexes comprise network indexes such as coverage, interference and the like and service indexes such as speed, time delay and the like. Key Performance Indicators (KPIs) are important tools for measuring the quality and operation conditions of a wireless network, and the key performance indicators are monitored and analyzed to visually and quickly find problems in the network, so that the key performance indicators are a main means for analyzing the network conditions and positioning problem cells. Key performance indexes of the KPI network are mainly obtained by means of drive test, frequency sweep and the like, and the integrity, accuracy, effectiveness and analysis process of the indexes all influence the efficiency of network optimization. Common KPI indicators include network delay, rate, reliability, RSRP, RSSI, SINR, etc.
The traditional network evaluation index system is more important in that the quality is viewed from a network angle, the actual service state of the service is difficult to reflect comprehensively and truly, meanwhile, an evaluation system used in a public network is mainly oriented to services such as voice and video of individual users and the like, the communication characteristic difference with the power service is large, the existing network index focuses on network quality evaluation, the power service bearing quality is not evaluated effectively, a 5G network quality evaluation model and a method aiming at the power service are absent at present, and the improvement effect of the power service bearing through a 5G network cannot be evaluated scientifically. The current power system can use the 5G networks of a plurality of operators to bear power services, the service quality of different networks is different, the improvement of the service quality of the power services puts higher and faster requirements on-site operation and maintenance, the existing centralized operation and maintenance support and analysis system cannot realize quick operation and maintenance response, and on-site operation and maintenance personnel cannot realize local quick evaluation of the network quality and fault treatment.
For example, a method and a system for establishing a power information network model facing power CPS risk assessment disclosed in chinese patent literature, which is disclosed under the publication number CN105763562B, selects 3 sets of security vulnerability assessment elements of vulnerability distribution threat degree, access path and utilization complexity; establishing a vulnerability threat degree evaluation model by adopting an analytic hierarchy process, and providing a parameter construction method; on the basis of quantitative evaluation, the evaluation result defines the vulnerability threat level, and both the objectivity of the quantitative evaluation and the intuitiveness of the qualitative evaluation are considered; meanwhile, the related system comprises a vulnerability detection part and a server part which adopt a distributed structure. The vulnerability scanning system and the safety partition of the power information network are fused, and the vulnerability threat assessment is carried out by adopting a power information network vulnerability threat assessment algorithm based on the CVSS and the analytic hierarchy process, so that the vulnerability scanning and safety assessment can be carried out on the power information network more safely and more accurately by the system.
However, the above-mentioned technology station looks at the quality from the network perspective, and it is difficult to reflect the actual service status of the service comprehensively and truly.
Disclosure of Invention
The invention mainly solves the problem that the quality is difficult to be viewed from the network angle and the actual service state of the service is difficult to be reflected comprehensively and truly in the prior art; the method for evaluating the bearing quality of the 5G network facing the power service is provided, a comprehensive evaluation model facing the power service is constructed, the effect and the quality of the power service carried by the 5G network are accurately reflected, and the expansion and the extension of the network quality evaluation from the technical evaluation to the service evaluation are realized.
The technical problem of the invention is mainly solved by the following technical scheme:
A5G network bearing quality evaluation method facing power service comprises the following steps:
s1: the field side initiates a network quality evaluation request or the management side initiates a network quality evaluation request;
s2: after receiving a network quality evaluation request, the terminal side calls a power service simulation module, selects a specific service simulation function and configures service characteristic parameters;
s3: the power service simulation module at the terminal side sends an evaluation test packet according to the configured service characteristic parameters, and the evaluation test packet passes through a power industry 5G bearing network and is accessed to a power service simulation master station system at the management side through a power industry transmission special line;
s4: the power business simulation master station system collects data collected by a field side terminal, obtains a business index actual measurement data result through data processing, and pushes the result to a management side and a terminal side for displaying;
s5: repeatedly executing the steps S1-S4 until the service evaluation of various services is completed;
s6: and calculating a quality evaluation summary value of the 5G network bearing power service according to the 5G network bearing quality evaluation model facing the power service, and pushing the quality evaluation summary value to a management side and a terminal side for displaying.
The scheme is based on the transmission characteristics of the power service, fully considers the end-to-end transmission performance of the power service, has the functions of power service simulation, network quality evaluation, coverage evaluation and the like, supports the performance evaluation of coverage rate, time delay, reliability and the like of a 5G bearing network facing the power service and the simulation of different power services, realizes the network quality monitoring of a service site side, can accurately judge the network quality of the service side, scientifically evaluate and verify the service quality of the 5G network bearing the power service, makes up the defects of a traditional road test system facing a public network operator in the aspects of voice and video tests, forms a test evaluation result facing the power service, quickly positions the problem and improves the network optimization speed. The network quality evaluation index system established by the scheme covers key performance indexes of various electric power services, and the evaluation accuracy is ensured.
Preferably, the 5G network load-bearing quality evaluation model is a four-level composite weighted evaluation model, and the model includes the following four levels:
a first stage: a power business scene layer; including production control, management information and internet large-area services.
And a second stage: a power concrete business layer; specific services in each power service scene layer are included;
and a third stage: a business evaluation object layer; including real-time, reliability, transmission rate, and coverage capability;
fourth stage: a quality of service indicator layer; the indexes of the evaluation target layer are subdivided.
The established network quality evaluation index system covers key performance indexes of various electric power services, and the evaluation accuracy is ensured.
Preferably, the composite weight calculation process of the four-level composite weight evaluation model is as follows:
1) normalizing the actual measurement result of the service evaluation index of each service of the fourth stage;
and (3) normalization processing:
for the index of large-scale observation:
for the index of Wang Xiao Zhi:
wherein x is1Is a normalized value;
x0the actual measurement result is the service evaluation index;
xmaxevaluating the maximum value of the index for the service of the service;
xminthe minimum value of the evaluation index of the service is obtained;
2) calculating a weighting coefficient k of each evaluation index, wherein the weighting coefficient k is determined by a method of combining a hierarchical analysis method and an expert experience value;
3) carrying out weighted calculation on the normalized result of each service index according to a weighting coefficient k, and summarizing and summing to obtain the evaluation value of each evaluation object of the third level;
4) summarizing and summing to obtain the evaluation value of each service type of the second level according to the weighting coefficient p of the evaluation object;
5) summarizing and summing to obtain an evaluation value of each service scene of the first level according to the weighting coefficient s of the service type;
6) and summarizing and summing to obtain a quality evaluation result of the operator 5G network carrying the electric power service according to the weighting coefficient c of the service scene.
The established four-level composite weighted evaluation model realizes scientific evaluation under different service scenes by using subjective and objective weighting coefficients.
Preferably, the specific power service layer specifically includes:
specific services for controlling accurate load control and power distribution automation in the large-area service are produced;
the method comprises specific services of power utilization information acquisition and mobile inspection in management information large-area services;
and specific services including intelligent home and electric charge payment inquiry in internet large-area services.
Preferably, the service simulation function of the power service simulation module comprises production control large area service simulation, management information large area service simulation, internet large area service simulation and custom service simulation. The custom service can set more flexible data packet characteristics according to the requirements of the site.
Preferably, the service characteristic parameters include service selection, a service identification code, a packet sending period, a packet sending size, a packet sending duration and a concurrency number. The service checking refers to that the following parameters can be configured only after a specific service is selected, and the service is added into an evaluation list after checking. The service identification code is an identification code for each specific service, so that the simulation master station system can conveniently and quickly identify the service. The packet transmission period refers to the transmission interval of the service packet, the packet transmission size refers to the size of the service transmission packet, and the packet transmission duration refers to the evaluation duration.
Preferably, the service identification code sequentially comprises: network slice coding, service scene coding, deployment location coding and service type coding. The slicing mode is adopted when the 5G network bears different electric power services, and in order to better evaluate the performance of specific bearing slices, the information of the network slices also needs to be added into the service identification code, namely the service identification code comprises 5G slice codes and specific service codes.
Preferably, the real-time index includes uplink delay, downlink delay, average delay, delay jitter and high delay ratio;
the reliability index comprises packet loss rate, drop rate, access success rate and residence time;
the transmission rate index comprises a maximum transmission rate, a minimum transmission rate, an average transmission rate and a low-speed transmission ratio;
the coverage capability index includes an RSRP value, an SINR value, a weak coverage ratio, and a strong interference ratio.
Based on the transmission characteristics of the power service, the end-to-end transmission performance of the power service is fully considered, the system has the functions of power service simulation, network quality evaluation, coverage evaluation and the like, supports performance evaluation of coverage rate, time delay, reliability and the like of a power service-oriented 5G bearing network and simulation of different power services, realizes network quality monitoring of a service site side, can accurately judge the network quality of the service side, scientifically evaluates and verifies the service quality of the power service carried by the 5G network, makes up the defects of a traditional road test system for public network operators in voice and video tests, forms a test evaluation result for the power service, quickly positions the problem and improves the network optimization speed.
Preferably, the system architecture for evaluating the bearer quality of the 5G network comprises:
the 5G network quality evaluation terminal is responsible for network parameter acquisition and power service simulation work at the site side;
the power industry 5G carrier network is responsible for transmission of 5G network acquisition data of a public network operator side;
the special transmission line in the power industry is responsible for transmission of 5G network acquisition data on the power grid side;
the power service master station simulation system is responsible for response processing of various simulation services and has a data processing function;
the electric power 5G network quality evaluation system is responsible for making an evaluation strategy, issuing an evaluation instruction and displaying an evaluation result;
the 5G network quality evaluation terminal and the 5G bearing network in the power industry are positioned in a 5G network environment at an operator side; the power industry transmission special line, the power service master station simulation system and the power 5G network quality evaluation system are in a power grid side communication network environment.
Preferably, the terminal includes two terminal types, one is a portable terminal supporting visualization, and the other is a fixed terminal only collecting 5G network data. The two terminals are respectively emphasized and complement each other, the portable terminal is more flexible in test, the reachable position is wider, field personnel can be helped to quickly evaluate the bearing quality of a certain type of service, the operation and maintenance efficiency is further improved, the fixed terminal is more in test service type, the evaluated data is richer, the management personnel can be helped to quickly know the bearing quality of the whole area, and further specific requirements are provided for network optimization.
The invention has the beneficial effects that:
1. the scheme is based on the transmission characteristics of the power service, fully considers the end-to-end transmission performance of the power service, has the functions of power service simulation, network quality evaluation, coverage evaluation and the like, supports the performance evaluation of coverage rate, time delay, reliability and the like of a 5G bearing network facing the power service and the simulation of different power services, realizes the network quality monitoring of a service site side, can accurately judge the network quality of the service side, scientifically evaluate and verify the service quality of the 5G network bearing the power service, makes up the defects of a traditional road test system facing a public network operator in the aspects of voice and video tests, forms a test evaluation result facing the power service, quickly positions the problem and improves the network optimization speed.
2. The network quality evaluation index system established by the scheme covers key performance indexes of various electric power services, and the evaluation accuracy is ensured.
3.. The established four-level composite weighted evaluation model realizes scientific evaluation under different service scenes by using subjective and objective weighting coefficients.
4. The two types of terminals are adopted, the two types of terminals have respective emphasis and complement each other, the portable terminal is more flexible in test and wider in reachable position, field personnel can be helped to quickly evaluate the bearing quality of a certain type of service, the operation and maintenance efficiency is further improved, the fixed terminal is more in test service type, evaluated data are richer, the management personnel can be helped to quickly know the bearing quality of the whole area, and further specific requirements are provided for network optimization.
Drawings
Fig. 1 is a structural diagram of a system architecture for evaluating the bearer quality of a 5G network according to the present invention.
Fig. 2 is a flowchart of a 5G network bearer quality evaluation method of the present invention.
Fig. 3 is a schematic diagram of the service bearer delay structure of the present invention.
In the figure, 1.5G network quality evaluation terminal, 2 power industry 5G bearing network, 3 power industry transmission special line, 4 power service master station simulation system and 5 power 5G network quality evaluation system are provided.
Detailed Description
The technical scheme of the invention is further specifically described by the following embodiments and the accompanying drawings.
Example (b):
a system architecture for evaluating the bearing quality of a 5G network adopted in this embodiment is shown in fig. 1, and includes a 5G network quality evaluation terminal 1, a power industry 5G bearing network 2, a power industry transmission dedicated line 3, a power service master station simulation system 4, and a power 5G network quality evaluation system 5. The 5G network quality evaluation terminal 1 is responsible for network parameter acquisition and power service simulation work at a site side;
the electric power industry 5G carrier network 2 is responsible for the transmission of 5G network acquisition data of a public network operator side;
the power industry transmission special line 3 is responsible for transmission of 5G network acquisition data on the power grid side;
the power service master station simulation system 4 is responsible for response processing of various simulation services and has a data processing function;
the power 5G network quality evaluation system 5 is responsible for making an evaluation strategy, issuing an evaluation instruction and displaying an evaluation result;
the 5G network quality evaluation terminal 1 and the 5G bearing network 2 in the power industry are positioned in a 5G network environment at an operator side; the power industry transmission special line 3, the power service master station simulation system 4 and the power 5G network quality evaluation system 5 are in a power grid side communication network environment.
A method for evaluating the bearing quality of a 5G network facing power services, as shown in fig. 2, includes the following steps:
s1: the field side (field operation and maintenance personnel) of the power 5G network quality evaluation user initiates a network quality evaluation request or the management side (network management personnel) initiates a network quality evaluation request.
The request initiated by the field side mainly focuses on the evaluation of a specific service bearing quality, so that the field operation and maintenance personnel can be helped to quickly judge the reason and the type of the service quality reduction, such as time delay increase, specifically the wireless air interface transmission time delay from a terminal to a base station is increased, the request initiated by the management side focuses on the evaluation of the service bearing quality of a certain area, the evaluation of a certain fixed area can be flexibly selected, the evaluation of the whole network coverage area can also be selected, the acquisition period can be the period of remote setting of fixed period acquisition, and the acquisition can also be carried out at any time according to the requirement.
S2: and after receiving a 5G network quality evaluation request of field personnel or management personnel, the evaluation terminal side calls a power service simulation module built in the terminal, selects a specific service simulation function and configures service characteristic parameters.
The service simulation function of the embodiment can simulate the power production control large area service, the management information large area service, the internet large area service and the user-defined service, wherein the user-defined service can set more flexible data packet characteristics according to the field requirements.
The service characteristic parameters of this embodiment include service selection, service identification code, packet transmission period, packet transmission size, packet transmission duration, and number of concurrencies.
The service checking refers to that the following parameters can be configured only after a specific service is selected, and the service is added into an evaluation list after checking.
The service identification code is an identification code for each specific service, so that the simulation master station system can conveniently and quickly identify the service.
Considering that the slicing mode is adopted when the 5G network carries different services of electric power, in order to better evaluate the performance of specific carrying slices, the service identification code also needs to be added with information of network slices, that is, the service identification code includes 5G slice codes and codes of specific services.
The slice coding can use the existing 3GPP coding rule, and also can self-define the coding rule, in order to reduce the number of coding bits, the embodiment adopts the self-defined coding rule, the coding is started from 11, if 5 slices of an operator are rented in total, the coding is respectively 11, 12, 13, 14, 15, and so on, the business is coded after the network slice coding is completed, firstly the business scene is coded, the electric power production control large area business, the management information large area business, the Internet large area business and the self-defined business are respectively coded as 01, 02, 03, 04, and then the specific business in the business scene is coded, because the electric power business main station relates to provincial level deployment, local level deployment and county level deployment, different deployment positions and different time delays are adopted, therefore, the deployment positions of the business main station are also coded at the same time, 2 bits are adopted, the provincial level deployment number is 01, the number 02 is deployed at the city level, the number 03 is deployed at the county level, and other 04 places need to be taken by 2 digits in consideration of the types of electric power services, for example, the number 01 is the number of an accurate load control service in a production control large area, and the number 02 is the number of a distribution automation service. The service identification code sequentially comprises: network slice coding, service scene coding, deployment location coding and service type coding. For example, the fine load control service uses a slice with a number of 11, a provincial deployment, and a service identification code of 11010101.
The packet sending period refers to a transmission interval of the service packet, for example, 5s is sent once, and the specific transmission interval is set according to the technical specification of the specific service.
The packet size refers to the size of a traffic transmission packet, such as 375 bytes, 750 bytes, 1500 bytes, and the like.
The bale duration refers to the length of time evaluated, such as 10 minutes, 30 minutes, one hour, and the like.
After the configuration is completed for each specific service, the number of concurrent services may also be set, for example, 5 services are set to be concurrently transmitted.
Through the configuration, the evaluation test of a single service can be performed, the concurrent evaluation test of different services under the same scene can be performed, and the evaluation test of a plurality of services under all scenes can be performed, which is specifically determined according to the field requirements.
S3: and the power service simulation module at the terminal side sends an evaluation test packet according to the set service characteristic parameters, and the evaluation test packet passes through a power 5G bearing network and is accessed to the power service simulation master station system at the management side through a power industry transmission special line.
The service simulation master station system of this embodiment is deployed in a master station system area where an existing power network operates, for example, both are deployed in the same machine room, and is intended to simulate the truest service environment, especially the evaluation of time delay, which is one of the differences from the conventional public network route test process, the conventional route test only accesses a public server of the internet to measure time delay, speed, and the like, and in a communication path from a power service terminal to the master station, the communication path not only needs to pass through a 5G network segment of an operator, but also needs to pass through a power transmission dedicated line segment (where there are various network nodes such as routing, switching, and the like), and in addition to security protection measures of power (such as a firewall, a security isolation device, and the like), the service bearing quality cannot be accurately evaluated by using the details of the transmitted public network route test means.
Meanwhile, because the different electric services are deployed at different positions, for example, some services are provincial-level deployment and are deployed in an electric machine room of a provincial city, and some services are local-level deployment and are deployed in an electric machine room of a local level, the simulation master station system of the embodiment can also be flexibly adjusted according to the deployment condition of the actual service, and in the specific data forwarding process, the data packets of the simulation service are sent to the simulation master stations at different positions according to the service identification codes. In addition, a plurality of master station systems can be simulated at the same place, and a deviation value of an evaluation index needs to be added during data processing. For example, the forwarding delay from provincial level to local city level is 10s, and when the service arrival time is measured, 10s of deviation time needs to be added on the basis of the time of arrival at the simulated master station system (provincial deployment). In consideration of the complexity of the existing network deployment, the scenario of simulating a plurality of master station systems simultaneously by using the same place is adopted in the embodiment.
S4: the power business simulation master station system collects data collected by a field side terminal, obtains a business index actual measurement data result through data processing, and pushes the result to a management side and a terminal side for displaying.
The simulation master station system is a core point for processing 5G network collected data and comprises a service identification module, a time delay estimation module, a reliability statistic module, a rate calculation module and a coverage evaluation module.
The service identification module is mainly used for identifying a specific service type according to the service identification code and correcting subsequent index deviations such as time delay and the like. For example, the service of a large management information area, 5G communication does not pass through a secure access area, which can reduce some time delay, while some services are deployed at the local level and need to increase some transmission time delay.
The delay estimation module is used to estimate the bearer delay of the traffic, and as shown in fig. 3, the delay is divided into several parts, including the time (T2-T1) when the terminal side transmits through the operator 5G network and the time (T3-T2) when the operator network arrives at the special transmission line of the simulated master station.
The special line transmission time of this embodiment varies greatly because the path from the operator 5G egress to the service master station is complex, and there are a large number of safety devices such as routing devices and protection walls, which directly affect the transmission delay and the skew correction time Δ T.
The deviation rectifying time of the embodiment is to consider that part of services are not provincial deployment, but the simulated master station is deployed at provincial level, and needs to add transmission delay to the city, and in addition, the time period of the public network 5G and the time period of the private network are distinguished here, so as to better investigate the path affected by the delay.
And the time delay estimation module finally outputs index parameter values of uplink time delay, downlink time delay, average time delay, time delay jitter and high time delay ratio.
The high latency occupation ratio is counted according to the requirement of the service latency, for example, a threshold of 50ms is set, and counting is performed once when the threshold is larger than the threshold. Because the power service is sensitive to the delay requirement, if the high delay ratio is high, the overall quality of the network is poor, and the reliable service requirement of the power service cannot be ensured.
And the reliability counting module is used for counting the packet loss rate and counting the disconnection rate, the access success rate and the residence time of the service according to the comparison between the number of the received packets and the number of the sent packets.
And the rate calculation module is used for calculating the service transmission rate according to the packet sending quantity and the transmission time, and finally outputting the index parameter values of the maximum transmission rate, the minimum transmission rate, the average transmission rate and the low-speed transmission ratio. The low-speed transmission ratio of the embodiment is counted according to the minimum requirement of the traffic rate, for example, a threshold of 16kbps is set, and counting is performed once when the threshold is smaller than the threshold.
The coverage evaluation module is used for calculating and outputting index parameter values of RSRP value, SINR value, weak coverage ratio and strong interference ratio according to field network parameter values acquired by the mobile phone terminal.
The weak coverage ratio is an important index for measuring the coverage quality of a 5G network in a region, and if the weak coverage ratio of a power service coverage area is high, the network coverage quality is poor, so that service transmission failure is easily caused.
The strong interference ratio interference will also directly affect the transmission quality, especially for power control services, the interference will cause the results of disconnection, retransmission, etc., and further directly affect the operation guarantee of the related services.
S5: and repeating the steps S1-S4 until the service evaluation of various services is completed.
Steps S1-S4 finish the bearing quality evaluation of a single service, the simulation master station system pushes the actual measurement result of the service index to the terminal side for display, if the bearing quality of the whole network needs to be evaluated, steps S1-S4 are repeatedly executed to finish the service evaluation of various services, a multi-service concurrent mode can be set in one configuration, the actual measurement result of the service index is obtained and pushed to the management side and the terminal side for display.
S6: and calculating a quality evaluation summary value of the 5G network bearing power service according to the 5G network bearing quality evaluation model facing the power service, and pushing the quality evaluation summary value to a management side and a terminal side for displaying.
The manager or the field personnel can flexibly select the evaluation result of certain index such as time delay, reliability and the like to display according to the requirement, can also select the evaluation of a certain scene to display, and can also display the evaluation result of the whole network. The specific evaluation result can be in various forms, such as a tabular form, a trend graph, a bar graph, and so on.
The 5G network bearer quality evaluation model of the present embodiment is a four-level composite weighted evaluation model, which includes the following four levels: a first stage: and the power business scene layer comprises a production control large area business, a management information large area business and an internet large area business.
And a second stage: the specific service layer of the electric power comprises specific services such as accurate load control and distribution automation in a production control area, specific services such as power consumption information acquisition and mobile inspection of a management information area, and specific services such as intelligent home and electric charge payment inquiry of an internet area.
And a third stage: and the business evaluation object layer comprises real-time performance, reliability, transmission rate and coverage capability.
Fourth stage: and the service quality index layer is used for subdividing the capability of the evaluation object layer.
The real-time performance comprises indexes including uplink time delay, downlink time delay, average time delay, time delay jitter and high time delay ratio, the reliability comprises indexes including packet loss rate, drop rate, access success rate and residence time, the transmission rate comprises indexes including maximum transmission rate, minimum transmission rate, average transmission rate and low-speed transmission ratio, and the coverage capability comprises indexes including RSRP value, SINR value, weak coverage ratio and strong interference ratio.
The composite weight calculation process of the four-level composite weight evaluation model is as follows:
1) and carrying out normalization processing on the actual measurement result of the service evaluation index of each service of the fourth stage.
This is because the units of the dimensions such as time delay, reliability, etc. are not consistent, and for more scientific evaluation, the evaluation of each dimension can be made to be in the same layer through normalization processing, and the normalization process can use a normalization formula:
for the index of large-scale observation:
for the index of Wang Xiao Zhi:
wherein x is1Is a normalized value;
x0the actual measurement result is the service evaluation index;
xmaxevaluating the maximum value of the index for the service of the service;
xminand the minimum value of the evaluation index of the service is obtained.
2) And calculating a weighting coefficient k of each evaluation index, wherein the weighting coefficient k is determined by a method of combining a hierarchical analysis method and an expert experience value.
3) And carrying out weighted calculation on the normalized result of each service index according to the weighting coefficient k, and summarizing and summing to obtain the evaluation value of each evaluation object at the third level.
4) And summarizing and summing to obtain the evaluation value of each service type of the second level according to the weighting coefficient p of the evaluation object.
5) And summarizing and summing to obtain the evaluation value of each service scene of the first level according to the weighting coefficient s of the service type.
6) And summarizing and summing to obtain a quality evaluation result of the operator 5G network carrying the electric power service according to the weighting coefficient c of the service scene.
Considering that in the current network application, for different service scenarios, 5G networks of different operators may be selected, for example, a production control service scenario may select a china mobile 5G network, a management information service scenario may select a china unicom 5G network, or different slice networks of the same operator, for example, a production control slice, a management information slice, and the like in the china mobile 5G network, for such cases, evaluation of a service-oriented scenario is selected during network evaluation, so that on one hand, a more accurate evaluation result can be obtained, and on the other hand, the evaluation result is prevented from being averaged, and the service-oriented bearer quality cannot be accurately evaluated.
The terminal side for evaluating the quality of the electric power 5G network provided by the embodiment includes two terminal types, one is a portable terminal supporting visualization, and the other is a fixed terminal only acquiring 5G network data.
The first terminal is used by site operation and maintenance personnel, can perform active power service bearing quality evaluation request work, flexibly configures service parameters according to site service conditions, executes a service simulation function, has a visual display function, can visually display service indexes such as time delay, speed and reliability of specific services, and further evaluates the bearing quality of the 5G network.
The second type of terminal is a fixed terminal only used for 5G network data acquisition, and the terminal is deployed at an electric power key service, receives an evaluation instruction of a management side, periodically or for a long time acquires various services and network data at various time intervals, and sends the acquired network data to the simulation master station system to support the management side to master the overall bearing quality of the 5G network. The two terminals are respectively emphasized and complement each other, the portable terminal is more flexible in test, the reachable position is wider, field personnel can be helped to quickly evaluate the bearing quality of a certain type of service, the operation and maintenance efficiency is further improved, the fixed terminal is more in test service type, the evaluated data is richer, the management personnel can be helped to quickly know the bearing quality of the whole area, and further specific requirements are provided for network optimization.
It should be understood that the examples are for illustrative purposes only and are not intended to limit the scope of the present invention. Further, it should be understood that various changes or modifications of the present invention may be made by those skilled in the art after reading the teaching of the present invention, and such equivalents may fall within the scope of the present invention as defined in the appended claims.
Claims (10)
1. A5G network bearing quality evaluation method facing power service is characterized by comprising the following steps:
s1: the field side initiates a network quality evaluation request or the management side initiates a network quality evaluation request;
s2: after receiving a network quality evaluation request, the terminal side calls a power service simulation module, selects a specific service simulation function and configures service characteristic parameters;
s3: the power service simulation module at the terminal side sends an evaluation test packet according to the configured service characteristic parameters, and the evaluation test packet passes through a power industry 5G bearing network and is accessed to a power service simulation master station system at the management side through a power industry transmission special line;
s4: the power business simulation master station system collects data collected by a field side terminal, obtains a business index actual measurement data result through data processing, and pushes the result to a management side and a terminal side for displaying;
s5: repeatedly executing the steps S1-S4 until the service evaluation of various services is completed;
s6: and calculating a quality evaluation summary value of the 5G network bearing power service according to the 5G network bearing quality evaluation model facing the power service, and pushing the quality evaluation summary value to a management side and a terminal side for displaying.
2. The method according to claim 1, wherein the 5G network bearer quality assessment model is a four-level composite weighted assessment model, and the model includes the following four levels:
a first stage: a power business scene layer; the method comprises the steps of production control large-area service, management information large-area service and internet large-area service;
and a second stage: a power concrete business layer; specific services in each power service scene layer are included;
and a third stage: a business evaluation object layer; including real-time, reliability, transmission rate, and coverage capability;
fourth stage: a quality of service indicator layer; the indexes of the evaluation target layer are subdivided.
3. The method according to claim 2, wherein the composite weight calculation process of the four-level composite weight evaluation model is as follows:
1) normalizing the actual measurement result of the service evaluation index of each service of the fourth stage;
and (3) normalization processing:
for the index of large-scale observation:
for the index of Wang Xiao Zhi:
wherein x is1Is a normalized value;
x0the actual measurement result is the service evaluation index;
xmaxevaluating the maximum value of the index for the service of the service;
xminthe minimum value of the evaluation index of the service is obtained;
2) calculating a weighting coefficient k of each evaluation index, wherein the weighting coefficient k is determined by a method of combining a hierarchical analysis method and an expert experience value;
3) carrying out weighted calculation on the normalized result of each service index according to a weighting coefficient k, and summarizing and summing to obtain the evaluation value of each evaluation object of the third level;
4) summarizing and summing to obtain the evaluation value of each service type of the second level according to the weighting coefficient p of the evaluation object;
5) summarizing and summing to obtain an evaluation value of each service scene of the first level according to the weighting coefficient s of the service type;
6) and summarizing and summing to obtain a quality evaluation result of the operator 5G network carrying the electric power service according to the weighting coefficient c of the service scene.
4. The method for evaluating the bearer quality of the 5G network facing the power service according to claim 2, wherein the power specific service layer specifically comprises:
specific services for controlling accurate load control and power distribution automation in the large-area service are produced;
the method comprises specific services of power utilization information acquisition and mobile inspection in management information large-area services;
and specific services including intelligent home and electric charge payment inquiry in internet large-area services.
5. The method for evaluating the bearing quality of the 5G network facing the power service as claimed in claim 1, 2 or 4, wherein the service simulation functions of the power service simulation module comprise production control area service simulation, management information area service simulation, Internet area service simulation and custom service simulation.
6. The method as claimed in claim 5, wherein the service characteristic parameters include service check, service identification code, packet transmission period, packet transmission size, packet transmission duration, and number of concurrencies.
7. The method as claimed in claim 6, wherein the service identification code sequentially comprises: network slice coding, service scene coding, deployment location coding and service type coding.
8. The method according to claim 2, wherein the real-time indicators include uplink delay, downlink delay, average delay, delay jitter, and high delay ratio; the reliability index comprises packet loss rate, drop rate, access success rate and residence time;
the transmission rate index comprises a maximum transmission rate, a minimum transmission rate, an average transmission rate and a low-speed transmission ratio;
the coverage capability index includes an RSRP value, an SINR value, a weak coverage ratio, and a strong interference ratio.
9. The method according to claim 2, wherein the system architecture for evaluating the bearer quality of the 5G network comprises:
the 5G network quality evaluation terminal is responsible for network parameter acquisition and power service simulation work at the site side;
the power industry 5G carrier network is responsible for transmission of 5G network acquisition data of a public network operator side;
the special transmission line in the power industry is responsible for transmission of 5G network acquisition data on the power grid side;
the power service master station simulation system is responsible for response processing of various simulation services and has a data processing function;
the electric power 5G network quality evaluation system is responsible for making an evaluation strategy, issuing an evaluation instruction and displaying an evaluation result;
the 5G network quality evaluation terminal and the 5G bearing network in the power industry are positioned in a 5G network environment at an operator side; the power industry transmission special line, the power service master station simulation system and the power 5G network quality evaluation system are in a power grid side communication network environment.
10. The method as claimed in claim 1 or 9, wherein the terminals include two types of terminals, one type of portable terminal supporting visualization and the other type of fixed terminal only collecting 5G network data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111310748.8A CN114240031A (en) | 2021-11-05 | 2021-11-05 | 5G network bearing quality evaluation method facing power service |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111310748.8A CN114240031A (en) | 2021-11-05 | 2021-11-05 | 5G network bearing quality evaluation method facing power service |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114240031A true CN114240031A (en) | 2022-03-25 |
Family
ID=80748662
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111310748.8A Pending CN114240031A (en) | 2021-11-05 | 2021-11-05 | 5G network bearing quality evaluation method facing power service |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114240031A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116388385A (en) * | 2023-02-24 | 2023-07-04 | 江苏省电力试验研究院有限公司 | 5G electric power virtual special network bearing electric power control service detection platform |
| WO2023202037A1 (en) * | 2022-04-20 | 2023-10-26 | 中兴通讯股份有限公司 | Service test method and apparatus, and related device |
-
2021
- 2021-11-05 CN CN202111310748.8A patent/CN114240031A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023202037A1 (en) * | 2022-04-20 | 2023-10-26 | 中兴通讯股份有限公司 | Service test method and apparatus, and related device |
| CN116388385A (en) * | 2023-02-24 | 2023-07-04 | 江苏省电力试验研究院有限公司 | 5G electric power virtual special network bearing electric power control service detection platform |
| CN116388385B (en) * | 2023-02-24 | 2024-03-15 | 江苏省电力试验研究院有限公司 | 5G electric power virtual special network bearing electric power control service detection platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108683527B (en) | MR and XDR-based user perception depth detection method | |
| CN105744553B (en) | Network association analysis method and device | |
| CN102883348B (en) | A kind of system and method that intelligent terminal is tested as wireless network | |
| CN114240031A (en) | 5G network bearing quality evaluation method facing power service | |
| WO2011068583A1 (en) | Coverage hole detector | |
| CN105357699B (en) | Quality of wireless network monitors system and method | |
| CN102165811A (en) | Wireless mesh network with pinch point and low battery alerts | |
| CN107947968B (en) | Method and device for processing network quality complaint information | |
| CN104683182B (en) | IDC network of computer room service quality detection method and device | |
| CN106992902B (en) | Wireless network coverage blind area detection method and system | |
| CN114095956B (en) | Network optimization method, device and storage medium | |
| WO2015003551A1 (en) | Network testing method and data collection method thereof, and network testing apparatus and system | |
| CN111263389B (en) | Automatic positioning method and device for Volten voice quality problem | |
| JP5152176B2 (en) | Wireless cell monitoring method, apparatus and program thereof | |
| US11665531B2 (en) | End to end troubleshooting of mobility services | |
| CN107027138B (en) | A kind of room divides hidden failure to check method and device | |
| CN104754602A (en) | Wireless quality monitoring method and device | |
| CN104684014A (en) | Mobile communication network transmission testing method | |
| CN106998563B (en) | Indoor distribution system early warning method and device based on network performance | |
| WO2013026350A1 (en) | Method and device for assessing system performance | |
| CN104105097B (en) | Frequency allocation method, frequency configuration device and base station | |
| CN107371183A (en) | A kind of output intent and device of network quality report | |
| CN110875825A (en) | Fault judgment method and device | |
| CN110337081B (en) | Method and device for monitoring local fault in indoor distribution system and storage medium | |
| CN103974321A (en) | Repeater monitoring method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |