Network base station health degree assessment method and system based on dynamic multi-dimensional fusion

Abstract

The invention relates to the technical field of wireless communication network quality assessment, in particular to a network base station health degree assessment method and system based on dynamic multi-dimensional fusion, and the method comprises the following steps: data preparation, fractal-dimension assessment and calculation of base station health degree, site-demand solution coupling analysis, and dual-condition site assessment. The method has the beneficial effects that a coverage, flow and utilization rate three-dimensional dynamic base station health degree evaluation model is constructed, and the problems that the traditional evaluation dimension is single, and a high-coverage and low-value base station cannot be identified are improved and supplemented; a base station-demand solution rate association mechanism and a dual-condition evaluation rule are established, the station is evaluated based on dual conditions of the health degree and the demand solution rate of the base station, the problem that whether the healthy base station really meets the original demand or not in a traditional method is solved, and the construction effect is traced back to verify the planning demand.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wireless communication network quality evaluation, in particular to a network base station health degree evaluation method and system based on dynamic multi-dimensional fusion. BACKGROUND

[0002] After a new base station is built and opened, we want to evaluate the effect of the opened base station, or want to see if the base station meets the standard, then how to quantitatively present this problem, which requires an evaluation model or standard. We want to reflect the comprehensive state of the base station through a model. The current method for evaluating the base station has some shortcomings, and the present application supplements these shortcomings and proposes a multi-dimensional fusion evaluation method.

[0003] Shortcomings of the prior art: most of the traditional methods are based on single indicators of coverage or traffic for judgment, and cannot reflect the comprehensive state of the base station, nor can they identify "high coverage low value" base stations and other problems. The traditional method ignores whether the base station has truly solved the original demand problem after being built, and lacks a standardized mechanism for verifying the planning demand of the construction effect. SUMMARY

[0004] The present application aims to provide a network base station health degree evaluation method and system based on dynamic multi-dimensional fusion to solve the problems raised in the background.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical solution: a network base station health degree evaluation method based on dynamic multi-dimensional fusion, comprising the following steps:

[0006] S1: data preparation;

[0007] S2: evaluate by dimension and calculate the base station health degree, adopt a multi-dimensional fusion health degree evaluation model: health degree = coverage (40%) + traffic (30%) + utilization rate (30%), when the coverage, traffic and utilization rate all meet the standard, the total score = 100, and any dimension does not meet the standard, then the total score is deducted;

[0008] S3: perform site-demand solution rate coupling analysis, including demand standard judgment and demand solution rate calculation;

[0009] S4: carry out double-condition site evaluation, only when the health degree of the opened site is 100 and the demand solution rate is greater than 80%, it is determined as a completely healthy base station.

[0010] Preferably, in the S2 multi-dimensional evaluation, the multi-dimensional fusion health degree evaluation model is: health degree = coverage (40%) + traffic (30%) + utilization rate (30%), wherein the weights of the three dimensions of coverage, traffic and utilization rate are fixed, and when the three dimensions all reach the preset standard, the total score of the base station health degree is 100, and if any dimension does not meet the standard, the corresponding score is deducted in the total score according to the unmet condition.

[0011] Preferably, in the S3 site-demand solution rate coupling analysis, the demand standard judgment method is: for a site that is opened and has a health degree of 100, according to the demand set by the site, the corresponding property point of the demand is found, and then the demand type is judged: if the proportion of weak coverage area in the property point of the opened site corresponding to the demand type is less than 10% in the month, the demand is met; if the proportion of weak coverage area in the property point of the opened site corresponding to the demand type decreases by more than 60% compared with the proportion of weak coverage area in the property point in the month when the demand is generated, the demand is met; any one of the above two conditions is met, and the demand is determined to be met; wherein the weak coverage area is a problem grid or building of different types, which is determined according to the demand type, for example, if the demand type is MDT weak coverage grid, the weak coverage area is MDT weak coverage grid.

[0012] Preferably, in the S3 site-demand solution rate coupling analysis, the demand solution rate calculation method is: demand solution rate = number of site-set met demands / total number of site-set demands, wherein the number of site-set met demands is the number of demands determined to be met according to the demand standard judgment method, and the total number of site-set demands is the number of all demands set by the site.

[0013] Preferably, in the S4 step, the specific judgment standard of the double-condition site evaluation is: only when the opened site meets both the health degree of 100 and the demand solution rate of more than 80%, the site is determined to be a completely healthy base station, if any one of the conditions is not met, the site is not determined to be a completely healthy base station.

[0014] A system for a network base station health degree evaluation method based on dynamic multi-dimensional fusion, comprising:

[0015] A data preparation module for performing a data preparation step, collecting and organizing various types of data related to network base stations to provide basic data support for subsequent evaluation;

[0016] A multi-dimensional evaluation module for performing multi-dimensional evaluation and calculating base station health degree, using a multi-dimensional fusion health degree evaluation model: health degree = coverage (40%) + traffic (30%) + utilization rate (30%), when coverage, traffic and utilization rate all meet the standard, the total score = 100, and if any dimension does not meet the standard, the total score is deducted accordingly, and the base station health degree is calculated;

[0017] a site-demand resolution coupling analysis module for performing a site-demand resolution coupling analysis step, including demand compliance determination and demand resolution rate calculation, determining the number of demands meeting the requirements and the total number of demands, and then calculating the demand resolution rate;

[0018] a double-condition site evaluation module for performing a double-condition site evaluation step, determining that the site is a completely healthy base station when the health degree of the site is 100 and the demand resolution rate is greater than 80%.

[0019] Preferably, in the multi-dimensional evaluation module, the multi-dimensional fusion health degree evaluation model is specifically: health degree = coverage (40%) + traffic (30%) + utilization rate (30%), the module pre-sets the compliance standards of coverage, traffic and utilization rate, and in the evaluation, it is judged whether each dimension meets the requirements, if all meet the requirements, the health degree of the base station is 100 points, if any dimension does not meet the requirements, the corresponding score is deducted in the total score according to the pre-set deduction rule, and finally the health degree of the base station is obtained.

[0020] Preferably, the demand compliance determination submodule in the site-demand resolution coupling analysis module works as follows: for the site opened and with a health degree of 100, the demand corresponding to the site is found according to the demand set by the site, and then the demand type is judged: if the proportion of weak coverage area in the property point corresponding to the demand type of the opened site in the month is less than 10%, the demand is determined to meet the requirements; if the proportion of weak coverage area in the property point corresponding to the demand type of the opened site in the month is reduced by more than 60% compared with the proportion of weak coverage area in the property point corresponding to the demand type of the opened site in the month when the demand is generated, the demand is determined to meet the requirements; wherein the weak coverage area is a problem grid or building of different types, which is determined according to the demand type, for example, if the demand type is MDT weak coverage grid, the weak coverage area is MDT weak coverage grid; if any of the above two conditions is met, the demand is determined to meet the requirements.

[0021] Preferably, the demand resolution rate calculation submodule in the site-demand resolution coupling analysis module calculates as follows: demand resolution rate = number of demands meeting the requirements set by the site / total number of demands set by the site, the submodule obtains the number of demands meeting the requirements from the demand compliance determination submodule, and obtains the total number of demands as the total number of demands, calculates the demand resolution rate by the above formula, and transmits the result to the double-condition site evaluation module.

[0022] Preferably, the judgment rule of the double-condition site evaluation module is: only when the health degree of the opened site obtained from the multi-dimensional evaluation module is 100 and the demand resolution rate obtained from the site-demand resolution coupling analysis module is greater than 80%, the site is determined to be a completely healthy base station; if any of the above two conditions is not met, the site is determined to be not a completely healthy base station, and the evaluation result is output.

[0023] Compared with the prior art, the present application has the following beneficial effects:

[0024] The network base station health degree evaluation method and system based on dynamic multi-dimensional fusion provided by the present application construct a three-dimensional dynamic base station health degree evaluation model of coverage, traffic, and utilization rate, which improves and supplements the problems of single evaluation dimension in the traditional evaluation method and the inability to identify "high coverage low value" base stations; a base station-demand resolution rate correlation mechanism and a double-condition evaluation rule are established, the site is evaluated based on the double conditions of base station health degree and demand resolution rate, the problem that the traditional method ignores whether the healthy base station truly solves the original demand is made up, and the construction effect is verified back to the planning demand. BRIEF DESCRIPTION OF DRAWINGS

[0025] Figure 1 The method flowchart of the present application. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical scheme of the present application clear, complete and more clear and explicit, the embodiments of the present application are further described in detail below in combination with the drawings. It should be understood that the specific embodiments described herein are part of the embodiments of the present application, but not all the embodiments, which are used to explain the embodiments of the present application, and do not limit the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0027] Embodiment one, the present application provides a technical scheme: a network base station health degree evaluation method based on dynamic multi-dimensional fusion, comprising the following steps:

[0028] 1. Data preparation:

[0029] Base station attributes: site opening time, 4 / 5G network, city / country, base station coverage cell, demand involved by base station

[0030] Coverage dimension evaluation data: 4 / 5G MR cell daily granularity coverage data.

[0031] Traffic dimension evaluation data: cell daily granularity traffic data.

[0032] Utilization rate dimension evaluation data: cell daily granularity utilization rate data.

[0033] Demand evaluation data: collect the same type data of the month of demand generation and the month of site opening according to the type of demand set by the site. For example, if a site contains a demand of MDT weak coverage grid demand, the data of MDT weak coverage grid in the month of demand generation and the month of site opening needs to be collected.

[0034] 2. Dimension evaluation:

[0035] Coverage dimension: First collect the MR cell daily granularity coverage data of the site after 1 week of network entry, calculate the number of weak coverage sampling points rsrp_valid_counter and the total sampling points rsrp_counter according to the cell dimension in this week, and calculate the coverage rate of the cell in this week cover_rate=(rsrp_counter-rsrp_valid_counter) / rsrp_counter, if it meets the city: cover_rate>0.9 or rural cover_rate>0.8, then the cell is a non-weak coverage cell. According to the number of weak coverage cells in the site coverage cell, if weak coverage cell=0 is up to standard, score 40, otherwise not up to standard, score 0.

[0036] Traffic dimension: First collect the daily granularity cell traffic data of the site after 1 week of network entry, 4G: extract the continuous 7-day traffic index data of the cell covered by the site, select the maximum 3 days and calculate the average traffic, the existence of cell traffic average>0.5GB is up to standard, score 30, otherwise not up to standard, score 0; 5G: extract the continuous 7-day traffic index data of the cell covered by the site, select the maximum 3 days and calculate the average, the existence of macro station cell traffic average>3GB or room division cell traffic average>2GB is up to standard, score 30, otherwise not up to standard, score 0.

[0037] Utilization dimension: First collect the daily granularity cell utilization data of the site after 1 week of network entry, 4G: if the cell exists for two days or more utilization <10% in this week, then the cell is a low utilization cell, if the number of low utilization cells of the 4G site covered cell=0 is up to standard, score 30, otherwise not up to standard, score 0; 5G: if the cell exists for two days or more utilization <5% in this week, then the cell is a low utilization cell, if the number of low utilization cells of the 5G site covered cell=0 is up to standard, score 30, otherwise not up to standard, score 0.

[0038] The following table is a summary of the three dimension judgment criteria.

[0039]

[0040] 3. Calculate the site health degree:

[0041] Site health degree=coverage score+traffic score+utilization score.

[0042] 3. Site-demand resolution rate coupling verification analysis:

[0043] The site is opened and the site health degree is 100, according to the site set demand, find the property point corresponding to the demand, and judge according to the type of demand:

[0044] ① The ratio of weak coverage area in the property point of the opening site is less than 10% in the month.

[0045] ② The ratio of weak coverage area in the property point of the opening site is reduced by more than 60% compared with the ratio of weak coverage area in the property point in the month when the demand is generated.

[0046] The above ① and ② meet any one of the conditions, and the demand is met. The demand resolution rate = the number of demands set by the site / the total number of demands set by the site.

[0047] Supplement: The weak coverage area here is a different type of problem grid or building, for example, if the demand type is MDT weak coverage grid, then the weak coverage area here is MDT weak coverage grid.

[0048] 4. Double condition evaluation site:

[0049] Only when the health degree of the opening site is 100 and the demand resolution rate is greater than 80% is it determined as a completely healthy base station.

[0050] In the embodiment two, on the basis of the embodiment one, a network base station health degree evaluation method system based on dynamic multi-dimensional fusion is proposed, which comprises:

[0051] The data preparation module is used to execute the data preparation step, collect and organize various types of data related to the network base station, and provide basic data support for subsequent evaluation;

[0052] The multi-dimensional evaluation module is used to execute the multi-dimensional evaluation and calculate the base station health degree step, adopt the multi-dimensional fusion health degree evaluation model: health degree = coverage (40%) + traffic (30%) + utilization rate (30%), when the coverage, traffic and utilization rate are up to standard, the total score = 100, and any dimension is not up to standard, then the total score is deducted correspondingly, and the base station health degree is calculated; The multi-dimensional fusion health degree evaluation model is: health degree = coverage (40%) + traffic (30%) + utilization rate (30%), the module pre-sets the up-to-standard standard of coverage, traffic and utilization rate, judges whether each dimension is up to standard during evaluation, if all dimensions are up to standard, the total score of base station health degree is 100, if any dimension is not up to standard, the corresponding score is deducted in the total score according to the pre-set deduction rule, and finally the base station health degree is obtained.

[0053] The site-demand resolution rate coupling analysis module is configured to perform a site-demand resolution rate coupling analysis step, including demand satisfaction judgment and demand resolution rate calculation, to determine the number of demands that meet the requirements and the total number of demands, and then calculate the demand resolution rate. The demand satisfaction judgment submodule in the site-demand resolution rate coupling analysis module works as follows: for a site that is open and has a health degree of 100, according to the demand set by the site, the corresponding property point of the demand is found, and then a judgment is made according to the type of the demand: if the proportion of weak coverage areas in the property point of the open site corresponding to the demand type is less than 10% in the month, it is determined that the demand meets the requirements; if the proportion of weak coverage areas in the property point of the open site corresponding to the demand type decreases by more than 60% compared with the proportion of weak coverage areas in the property point in the month when the demand is generated, it is determined that the demand meets the requirements; wherein the weak coverage area is a problem grid or building of different types, which is determined according to the type of demand, for example, if the type of demand is MDT weak coverage grid, the weak coverage area is MDT weak coverage grid; if any of the above two conditions is met, the demand is determined to meet the requirements. The demand resolution rate calculation submodule calculates as follows: demand resolution rate = number of demands that meet the requirements set by the site / total number of demands set by the site, the submodule obtains the number of demands that meet the requirements from the demand satisfaction judgment submodule, and obtains all the number of demands set by the site as the total number of demands, calculates the demand resolution rate by the above formula, and transmits the result to the double-condition site evaluation module.

[0054] The double-condition site evaluation module is configured to perform a double-condition site evaluation step, and when the health degree of the open site is 100 and the demand resolution rate is greater than 80%, it is determined that the site is a completely healthy base station. The judgment rule of the double-condition site evaluation module is: only when the health degree of the open site obtained from the fractal dimension evaluation module is 100 and the demand resolution rate obtained from the site-demand resolution rate coupling analysis module is greater than 80%, it is determined that the site is a completely healthy base station; if any of the above two conditions is not met, it is determined that the site is not a completely healthy base station, and the evaluation result is output.

[0055] Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for assessing the health of network base stations based on dynamic multi-dimensional fusion, characterized in that: Includes the following steps: S1: Data preparation; S2: Evaluate and calculate base station health in different dimensions. Use a multi-dimensional fusion health evaluation model: Health = Coverage (40%) + Traffic (30%) + Utilization (30%). When coverage, traffic and utilization all meet the standards, the total score is 100. If any dimension fails to meet the standard, the total score will be reduced accordingly. S3: Conduct site-demand resolution rate coupling analysis, including demand compliance determination and demand resolution rate calculation; S4: Conduct dual-condition site assessments. A site is considered a fully healthy base station only when its health score is 100 and its demand resolution rate is greater than 80%.

2. The network base station health assessment method based on dynamic multi-dimensional fusion according to claim 1, characterized in that: In the S2 multi-dimensional evaluation, the multi-dimensional integrated health assessment model is as follows: Health = Coverage (40%) + Traffic (30%) + Utilization (30%). The weights of the three dimensions of coverage, traffic, and utilization are fixed. When all three dimensions meet the preset standards, the total health score of the base station is 100 points. If any dimension fails to meet the standard, the corresponding score will be deducted from the total score according to the failure.

3. The network base station health assessment method based on dynamic multi-dimensional fusion according to claim 2, characterized in that: The method for determining the compliance of a demand in the S3 site-demand resolution rate coupling analysis is as follows: For a site that is open and has a health score of 100, based on the demand set by the site, find the property point corresponding to the demand, and then judge according to the type of demand: If the proportion of weak coverage areas in the property point of the open site corresponding to the demand type is <10% in the current month, then the demand is compliant; If the proportion of weak coverage areas in the property point of the open site corresponding to the demand type decreases by >60% compared to the proportion of weak coverage areas in the property point of the current month when the demand was generated, then the demand is compliant; If either of the above two conditions is met, the demand is judged to be compliant; Among them, weak coverage areas are different types of problem grids or buildings, which are determined according to the demand type. For example, if the demand type is MDT weak coverage grid, then the weak coverage area is MDT weak coverage grid.

4. The network base station health assessment method based on dynamic multi-dimensional fusion according to claim 3, characterized in that: The calculation method for the demand resolution rate in the S3 site-demand resolution rate coupling analysis is as follows: Demand resolution rate = Number of compliant demands set by the site / Total number of demands set by the site, where the number of compliant demands set by the site is the number of demands determined to be compliant according to the demand compliance judgment method, and the total number of demands set by the site is the total number of all demands set by the site.

5. The network base station health assessment method based on dynamic multi-dimensional fusion according to claim 4, characterized in that: The specific criteria for the dual-condition site evaluation in step S4 are as follows: a site is considered a fully healthy base station only if it meets both the conditions of a health level of 100 and a demand resolution rate of more than 80%. If neither condition is met, the site is not considered a fully healthy base station.

6. A system for evaluating the health of network base stations based on dynamic multi-dimensional fusion as described in claim 5, characterized in that: include: The data preparation module is used to perform data preparation steps, collect and organize various types of data related to network base stations, and provide basic data support for subsequent evaluation. The multi-dimensional assessment module is used to perform multi-dimensional assessments and calculate the base station health status. It adopts a multi-dimensional fusion health status assessment model: Health status = Coverage (40%) + Traffic (30%) + Utilization (30%). When coverage, traffic, and utilization all meet the standards, the total score = 100. If any dimension fails to meet the standard, the total score will be deducted accordingly to calculate the base station health status. The site-resolver rate coupling analysis module is used to perform site-resolver rate coupling analysis steps, including demand compliance determination and demand resolution rate calculation, to determine the number of compliant demands and the total number of demands, and then calculate the demand resolution rate; The dual-condition site evaluation module is used to perform dual-condition site evaluation steps. When the health of an activated site is 100 and the demand resolution rate is >80%, the site is determined to be a fully healthy base station.

7. The system according to claim 6, characterized in that: In the multi-dimensional assessment module, the multi-dimensional fusion health assessment model is as follows: Health = Coverage (40%) + Traffic (30%) + Utilization (30%). This module pre-sets the standards for coverage, traffic, and utilization. During the assessment, it judges whether each dimension meets the standard. If all dimensions meet the standard, the total health score of the base station is 100 points. If any dimension fails to meet the standard, the corresponding score is deducted from the total score according to the preset deduction rules, and the base station health score is finally obtained.

8. The system according to claim 7, characterized in that: The requirement compliance determination submodule within the site-resolvement rate coupling analysis module works as follows: For sites that are operational and have a health score of 100, based on the requirements set by the site, it identifies the corresponding property location and then determines compliance based on the requirement type: If the percentage of weak coverage areas within the property location corresponding to the required type in the current month is less than 10%, the requirement is considered compliant; if the percentage of weak coverage areas within the property location corresponding to the required type in the current month decreases by more than 60% compared to the percentage of weak coverage areas within the property location in the month the requirement was generated, the requirement is considered compliant. Here, weak coverage areas refer to different types of problem grids or buildings, specifically determined by the requirement type. For example, if the requirement type is MDT weak coverage grid, then the weak coverage area is an MDT weak coverage grid. Meeting either of these two conditions constitutes compliance for the requirement.

9. A system according to claim 8, characterized in that: The demand resolution rate calculation submodule in the site-demand resolution rate coupling analysis module calculates the demand resolution rate as follows: Demand resolution rate = Number of qualified demands set by the site / Total number of demands set by the site. This submodule obtains the number of qualified demands from the demand qualification judgment submodule and obtains the total number of demands set by the site as the total number of demands. It calculates the demand resolution rate using the above formula and transmits the result to the dual-condition site evaluation module.

10. A system according to claim 9, characterized in that: The judgment rule of the dual-condition site evaluation module is as follows: the site is judged to be a fully healthy base station only when the health score of the activated site obtained from the multi-dimensional evaluation module is 100 and the demand resolution rate obtained from the site-demand resolution rate coupling analysis module is greater than 80%; if either of the above two conditions is not met, the site is judged not to be a fully healthy base station and the evaluation result is output.

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