Mobile network scene operation and maintenance management method and device

Abstract

The invention discloses a mobile network scene operation and maintenance management method and device. The method comprises the steps that a target data set of a target area in a preset time period is acquired, and the target data set at least comprises a scene layer data set, a basic work parameter data set of each cell in the target area and an operation and maintenance data set; determining at least one cell in each mobile network scene according to the target data set; for each mobile network scene, the scene operation and maintenance health degree of the mobile network scene under a plurality of service index dimensions is determined according to the operation and maintenance data set of each cell in the mobile network scene, and the service index dimensions comprise at least one of the following dimensions: a coverage dimension, a perception dimension, a quality dimension and an efficiency dimension; and performing management operation on each mobile network scene according to the scene operation and maintenance health degree. The technical problem that related technologies can only perform qualitative evaluation on the mobile network scene and cannot comprehensively and quantitatively evaluate the operation condition of the mobile network scene is solved.

Description

Technical Field

[0001] The present application relates to the field of wireless communication technology, and more specifically, to a method and device for managing mobile network scenario operation and maintenance. Background Art

[0002] In order to create a high-quality mobile network with good signal, excellent experience and strong capabilities, the first problem to be solved is scene evaluation. At present, scene evaluation mainly uses wireless network elements (associated cells) around the scene to evaluate aggregation indicators at the eNodeB / gNodeB base station level and cell level. However, since the coverage radius of wireless base stations / cells is 300m-2000m, other surrounding buildings are generally covered at the same time. Directly aggregating network element indicators will include services outside the scene, resulting in a problem of overstating business volume, which cannot accurately represent the target scene business volume and network quality. In particular, the deviation is more significant for some small scenes, such as government service centers, business hotels, etc., which affects the accuracy and efficiency of scene quality improvement and consumes costs.

[0003] In addition, the traditional mobile network evaluation method is mainly based on network optimization engineers evaluating coverage, speed, traffic and other single dimensions, and judging whether the mobile network scenario is qualified based on the size relationship between the dimension evaluation results and the fixed threshold. Therefore, the traditional mobile network evaluation method can neither comprehensively and quantitatively evaluate the operation of mobile network scenarios, nor can the evaluation criteria be discussed separately according to scenario categories and resource allocation differences.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present application provide a mobile network scenario operation and maintenance management method and device to at least solve the technical problem that the related technology can only perform qualitative evaluation on the mobile network scenario but cannot comprehensively and quantitatively evaluate the operation status of the mobile network scenario.

[0006] According to one aspect of an embodiment of the present application, a mobile network scene operation and maintenance management method is provided, including: obtaining a target data set of a target area within a preset time period, wherein the target data set includes at least: a scene layer data set for reflecting different mobile network scene information of the target area, a basic engineering parameter data set for reflecting the physical location information of each cell in the target area, and an operation and maintenance data set for reflecting MR recording information of each cell in the target area; determining at least one cell in each mobile network scene based on the target data set; for each mobile network scene, determining the scene operation and maintenance health of the mobile network scene under multiple business indicator dimensions based on the operation and maintenance data sets of each cell in the mobile network scene, wherein the business indicator dimensions include at least one of the following: coverage dimension, perception dimension, quality dimension, and efficiency dimension; and performing management operations on each mobile network scene according to the scene operation and maintenance health.

[0007] Optionally, at least one cell in each mobile network scenario is determined based on the target data set, including: for each cell in the target area, rasterizing the cell to obtain multiple cell grids, and determining the grid longitude and latitude coordinates of each cell grid based on the basic engineering parameter data of the cell; determining the area of ​​each cell grid in the service area of ​​different mobile network scenarios based on the scene layer data set and the basic engineering parameter data set of the cell; determining the first number of MR recording information of each cell grid in each mobile network scenario based on the operation and maintenance data set of the cell and the grid longitude and latitude coordinates of each cell grid in the cell; for each cell grid in the cell, when the area of ​​the cell grid in the service area of ​​the target mobile network scenario is not less than a preset area threshold, and the first number of MR recording information of the cell grid in the target mobile network scenario is not less than a preset second threshold, it is determined that the cell corresponding to the cell grid is in the service area of ​​the mobile network scenario.

[0008] Optionally, the operation and maintenance data set at least includes: multiple MR record information based on the assisted global satellite positioning system reported by multiple mobile terminals in the cell within a preset time period, and the MR record information includes at least one of the following: TA value, RSRP value, wherein the first number of MR record information of each cell grid in each mobile network scenario is determined based on the operation and maintenance data set of the cell and the grid longitude and latitude coordinates of each cell grid in the cell, including: determining the longitude and latitude coordinates of the mobile terminal that reports each MR record information in the cell in each mobile network scenario based on the operation and maintenance data set of the cell; determining the MR record information of each cell grid in each mobile network scenario based on the matching result of the longitude and latitude coordinates of the mobile terminal with the grid longitude and latitude coordinates of each cell grid, and counting the MR record information of each cell grid in each mobile network scenario to obtain the first number of MR record information of the cell grid in each mobile network scenario.

[0009] Optionally, the basic engineering parameter data set includes at least: the longitude and latitude coordinates of the cell, and the scene layer data set includes at least: the coverage areas of different mobile network scenarios. Before determining the scene operation and maintenance health of the mobile network scenario under multiple business indicator dimensions based on the operation and maintenance data set of each cell in the mobile network scenario, the method also includes: for each mobile network scenario, judging whether the longitude and latitude coordinates of any cell in the mobile network scenario are completely within the service area of ​​the mobile network scenario based on the scene layer data set and the basic engineering parameter data set of the cell; if so, determining that the cell belongs to the first associated cell set of the mobile network scenario; if not, determining the MR record information in each cell grid of the cell in the mobile network scenario based on the scene layer data set and the operation and maintenance data set of the cell. The method comprises the following steps: determining a second number of MR recorded information in each cell grid of the cell and determining whether a first ratio of the second number to the first number of each cell grid of the cell is not lower than a preset third threshold value; if so, determining that the cell belongs to a second associated cell set of the mobile network scenario; if not, determining whether a second ratio of the sum of the second number of MR recorded information in each cell grid of the cell in the mobile network scenario to the sum of the first number of each cell grid of the cell is greater than a preset fourth threshold value and whether the first ratio is not lower than a preset fifth threshold value, wherein the fifth threshold value is less than the third threshold value; if so, determining that the cell belongs to a third associated cell set of the mobile network scenario; wherein the association level of the first associated cell set is higher than that of the second associated cell set, and the association level of the second associated cell set is higher than that of the third associated cell set.

[0010] Optionally, the scene operation and maintenance health of the mobile network scene in multiple business indicator dimensions is determined based on the operation and maintenance data set of each cell in the mobile network scene, including: determining the business indicator quantity of the mobile network scene in multiple business indicator dimensions based on the operation and maintenance data set of each cell in the mobile network scene and the association level of the associated cell set of the mobile network scene to which each cell belongs, wherein the business indicator quantity includes at least one of the following: MR coverage rate and weakly associated cell grid proportion corresponding to the coverage dimension, access success rate, drop rate, switching success rate, and business excellence rate corresponding to the quality dimension, business data volume corresponding to the efficiency dimension, and transmission rate and complaint rate corresponding to the perception dimension; determining the business indicator quantity of the mobile network scene in multiple business indicator dimensions based on the relationship between the business indicator quantity of the mobile network scene in multiple business indicator dimensions and the indicator threshold value corresponding to each business indicator dimension. Scores of mobile network scenarios under multiple business indicator dimensions, wherein the scores under multiple business indicator dimensions include at least one of the following: a first score under the coverage sub-dimension corresponding to the MR coverage rate, a second score under the weak correlation sub-dimension corresponding to the proportion of weakly correlated cell grids, a third score under the access sub-dimension corresponding to the access success rate, a fourth score under the retention sub-dimension corresponding to the drop rate, a fifth score under the mobility sub-dimension corresponding to the switching success rate, a sixth score under the service quality sub-dimension corresponding to the service excellence rate, a seventh score under the efficiency dimension corresponding to the service data volume, an eighth score under the rate sub-dimension corresponding to the transmission rate, and a ninth score under the complaint sub-dimension corresponding to the complaint rate; the scenario operation and maintenance health of the mobile network scenario under multiple business indicator dimensions is determined based on the scores of the mobile network scenario under each business indicator dimension.

[0011] Optionally, the score of the mobile network scenario in multiple business indicator dimensions is determined based on the size relationship between the business indicator quantity of the mobile network scenario in multiple business indicator dimensions and the indicator threshold corresponding to each business indicator dimension, including: judging the size relationship between the MR coverage rate and a preset coverage rate threshold; when the MR coverage rate is not less than the coverage rate threshold, determining the first score of the mobile network scenario in the coverage rate sub-dimension as full score; when the MR coverage rate is less than the coverage rate threshold, determining the difference between the coverage rate threshold and the MR coverage rate of the mobile network scenario, and determining the score obtained by multiplying the ratio of the difference and the preset adjustment coefficient by the full score, and taking the maximum value between the difference between the full score and the score and zero as the first score of the mobile network scenario in the coverage rate sub-dimension.

[0012] Optionally, according to the size relationship between the business indicator amount of the mobile network scenario under multiple business indicator dimensions and the indicator threshold corresponding to each business indicator dimension, the score of the mobile network scenario under multiple business indicator dimensions is determined, including: determining the MR coverage rate of the cell grid of each cell in the mobile network scenario, and taking the cell grid with MR coverage rate less than the coverage rate threshold as a weakly associated cell grid; counting the number of all weakly associated cell grids in the mobile network scenario and the number of all cell grids in the mobile network scenario, and determining the proportion of weakly associated cell grids in the mobile network scenario; judging the proportion of weakly associated cell grids and the predicted The relationship between the first full score threshold value and the preset first zero score threshold value; when the proportion of weakly associated cell grids is not higher than the first full score threshold value, determine that the second score of the mobile network scenario in the weak association sub-dimension is full score; when the proportion of weakly associated cell grids is higher than the first full score threshold value, determine the ratio between the difference between the proportion of weakly associated cell grids in the mobile network scenario and the first full score threshold value and the difference between the first zero score threshold value and the first full score threshold value, and take the maximum value between the difference between the full score minus the product of the ratio and the full score and zero score as the second score of the mobile network scenario in the weak association sub-dimension.

[0013] Optionally, the score of the mobile network scenario in multiple business indicator dimensions is determined according to the size relationship between the business indicator amount of the mobile network scenario in multiple business indicator dimensions and the indicator threshold value corresponding to each business indicator dimension, including: for each business indicator amount corresponding to the quality dimension, judging the size relationship between the business indicator amount and a preset second full score threshold value and a preset second zero score threshold value, wherein the business indicator amount is any one of an access success rate, a drop rate, a switching success rate, and a business excellence rate; when the business indicator amount is not less than the second full score threshold value, determining that the score of the mobile network scenario in the quality dimension is full score; when the business indicator amount is less than the second zero score threshold value, determining that the mobile network scenario The score under the quality dimension is zero; when the service indicator quantity is less than the second full score threshold value and not less than the second zero score threshold value, determine the ratio between the difference between the second full score threshold value and the service indicator quantity of the mobile network scenario and the difference between the second full score threshold value and the second zero score threshold value, and take the maximum value between the difference between the full score minus the product of the ratio and the full score and zero as the score of the mobile network scenario under the quality dimension; wherein, the score of the mobile network scenario under the quality dimension includes: the third score of the access sub-dimension corresponding to the access success rate, the fourth score of the retention sub-dimension corresponding to the drop rate, the fifth score of the mobility sub-dimension corresponding to the switching success rate, and the sixth score of the service quality sub-dimension corresponding to the service excellence rate.

[0014] Optionally, the score of the mobile network scenario in multiple business indicator dimensions is determined based on the relationship between the business indicator amount of the mobile network scenario in multiple business indicator dimensions and the indicator threshold corresponding to each business indicator dimension, including: determining the weight coefficient of each cell in the mobile network scenario based on the first ratio of each cell grid in each cell in the mobile network scenario and the association level of the associated cell set of the mobile network scenario to which each cell belongs; taking the weighted sum of the weight coefficient of each cell and the preset performance threshold as the scene performance threshold of the mobile network scenario; taking the product of the ratio of the business data volume of the mobile network scenario and the scene performance threshold and the full score, and the minimum value between the full scores as the seventh score of the mobile network scenario in the performance dimension.

[0015] Optionally, the score of the mobile network scenario in multiple business indicator dimensions is determined based on the relationship between the business indicator quantity of the mobile network scenario in multiple business indicator dimensions and the indicator threshold value corresponding to each business indicator dimension, including: judging the relationship between the transmission rate of the mobile network scenario in different frequency bands and bandwidths and a preset third full score threshold value and a third zero score threshold value; when the transmission rate of the mobile network scenario in a single frequency band and bandwidth is not lower than the third full score threshold value, determining that the score of the rate sub-dimension of the mobile network scenario in a single frequency band and bandwidth is full score; when the transmission rate of the mobile network scenario in a single frequency band and bandwidth is lower than the third zero score threshold value , determine that the score of the rate sub-dimension of the mobile network scenario in a single frequency band and bandwidth is zero; when the transmission rate of the mobile network scenario in the frequency band and bandwidth is lower than the third full score threshold but not lower than the third zero score threshold, determine the ratio between the difference between the third full score threshold and the transmission rate of the mobile network scenario and the difference between the third full score threshold and the third zero score threshold, and take the maximum value between the difference between the full score and the product of the ratio and the full score and zero as the score of the rate sub-dimension of the mobile network scenario in a single frequency band and bandwidth; take the average value of the scores of the rate sub-dimension of the mobile network scenario in each frequency band and bandwidth as the eighth score of the mobile network scenario in the rate sub-dimension.

[0016] Optionally, the score of the mobile network scenario in multiple business indicator dimensions is determined based on the relationship between the business indicator quantity of the mobile network scenario in multiple business indicator dimensions and the indicator threshold corresponding to each business indicator dimension, including: judging the relationship between the complaint rate of the mobile network scenario and the preset fourth full score threshold value and the fourth zero score threshold value; when the complaint rate of the mobile network scenario is not lower than the fourth full score threshold value, determining the ninth score of the mobile network scenario in the complaint sub-dimension as full score; when the complaint rate of the mobile network scenario is lower than the fourth full score threshold value, determining the ratio between the difference between the complaint rate of the mobile network scenario and the fourth full score threshold value and the difference between the fourth zero score threshold value and the fourth full score threshold value, and taking the maximum value between the difference between the full score minus the product of the ratio and the full score and zero score as the ninth score of the mobile network scenario in the complaint sub-dimension.

[0017] Optionally, management operations are performed on each mobile network scenario separately according to the scenario operation and maintenance health, including: determining abnormal mobile network scenarios whose scenario operation and maintenance health of each mobile network scenario is lower than a preset health threshold; optimizing and managing the abnormal mobile network scenarios according to a preset optimization strategy, wherein the optimization strategy includes at least one of the following: network expansion, resource scheduling, and parameter optimization.

[0018] According to another aspect of an embodiment of the present application, a mobile network scenario operation and maintenance management device is also provided, including: an acquisition module, used to acquire a target data set of a target area within a preset time period, wherein the target data set includes at least: a scene layer data set for reflecting different mobile network scenario information of the target area, a basic engineering parameter data set for reflecting the physical location information of each cell in the target area, and an operation and maintenance data set for reflecting the measurement report MR record information of each cell in the target area; a determination module, used to determine at least one cell in each mobile network scenario based on the target data set; an evaluation module, used to determine, for each mobile network scenario, the scenario operation and maintenance health of the mobile network scenario under multiple business indicator dimensions based on the operation and maintenance data sets of each cell in the mobile network scenario, wherein the business indicator dimension includes at least one of the following: coverage dimension, perception dimension, quality dimension, and efficiency dimension; a management module, used to perform management operations on each mobile network scenario based on the scenario operation and maintenance health.

[0019] According to another aspect of an embodiment of the present application, a computer program product is also provided, the computer program product comprising: a computer program, wherein when the computer program is executed by a processor, the above-mentioned mobile network scenario operation and maintenance management method is implemented.

[0020] According to another aspect of an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the above-mentioned mobile network scenario operation and maintenance management method through the computer program.

[0021] In the embodiment of the present application, by analyzing and processing the multi-source data set collected in the target area within the preset time period, the service cells in each mobile network scenario are identified, and by analyzing the relevant information of the service cells in a single mobile network scenario, the comprehensive scenario operation and maintenance health of a single mobile network scenario is accurately evaluated from multiple business indicator dimensions, thereby achieving the purpose of improving the accuracy, efficiency and differentiation ability of the mobile network scenario operation evaluation; in addition, the mobile network scenario is managed and operated according to the scenario operation and maintenance health of the mobile network scenario, and the network can be managed and optimized efficiently and targetedly to improve the network operation quality and user experience. Thus, the technical problem that the relevant technology can only perform qualitative evaluation on the mobile network scenario, but cannot comprehensively and quantitatively evaluate the operation of the mobile network scenario is solved, and at the same time, the problem that the differentiated evaluation cannot be performed according to the scenario category and resource allocation due to the unified evaluation standard is avoided. Thus, the technical problem that the relevant technology can only perform qualitative evaluation on the mobile network scenario, but cannot comprehensively and quantitatively evaluate the operation of the mobile network scenario is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0023] Figure 1 It is a flow chart of an optional mobile network scenario operation and maintenance management method according to an embodiment of the present application;

[0024] Figure 2 is a structural diagram of an optional mobile network scenario operation and maintenance management device according to an embodiment of the present application;

[0025] Figure 3 It is a schematic diagram of the structure of an optional electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0027] It should be noted that the terms "first", "second", etc. in the specification, claims and drawings of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] In order to better understand the embodiments of the present application, some nouns or terms that appear in the description of the embodiments of the present application are first translated and explained as follows:

[0029] MR (Measurement Report): refers to the information sent every 480ms on the service channel (470ms on the signaling channel), which can be used for network evaluation and optimization. MR is generally completed by MS (Mobile Station) and BTS (Base Transceiver Station), where MS executes and reports the downlink level strength, quality and TA of the GSM cell, and BTS executes and reports the measurement of the uplink MS reception level strength and quality. MR processing is usually completed in the base station controller (when the BTS preprocessing method is adopted, MR processing can be moved down to the BTS to complete), providing basic filtering, interpolation and other functions, providing basic input for the subsequent switching decision algorithm, and is the basis of the switching decision algorithm and power control algorithm.

[0030] TA (Time Advanced) refers to the difference between the actual time when the mobile station signal arrives at the base station and the time when the mobile station signal arrives at the base station assuming that the distance between the mobile station and the base station is 0. The base station always monitors the arrival time of the mobile station signal and sends a TA command on the downlink SACCH (Slow Associated Control Channel) according to the change of the arrival time.

[0031] RSRP (Reference Signal Received Power): It is a key parameter that can represent the strength of wireless signals in LTE (Long Term Evolution) networks and one of the physical layer measurement requirements. It is the average value of the signal power received on all resource elements carrying the reference signal within a symbol.

[0032] Example 1

[0033] According to an embodiment of the present application, a mobile network scenario operation and maintenance management method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0034] Figure 1 is a flow chart of a mobile network scenario operation and maintenance management method provided according to an embodiment of the present application, such as Figure 1 As shown, the method includes steps S102-S108, wherein:

[0035] Step S102, obtaining a target data set of a target area within a preset time period.

[0036] In the technical solution provided in the above step S102, the above target data set is a multi-source data set that is collected and integrated, including but not limited to a scene layer data set, a basic engineering parameter data set, and an operation and maintenance data set.

[0037] The scene layer dataset refers to a set of information data describing different mobile network scenarios in the target area (i.e., scenarios applied by 4G or 5G networks, such as schools, subways, high-efficiency, urban villages, etc.), such as scene type, scene name, scene range outline set (such as WKT format data), scene code, center longitude and latitude, and other related label information;

[0038] The basic engineering parameter data set is a data set that records the physical location and technical parameters of each service cell in the target area, covering engineering parameter information such as cities, districts and counties, base station numbers, cell numbers, cell names, longitude, latitude, network type, construction operator, frequency band, bandwidth, and coverage type;

[0039] The operation and maintenance data set is a collection of network operation status data of each service cell in the target area within a preset time period, including coverage data (such as 4 / 5GMR grid, total number of MRs, number of MRs at each threshold, such as number of MRs greater than -105dBm, etc.), wireless network performance data (such as number of access times, number of dropped calls, switching success rate, etc.), efficiency data (service traffic, call volume), perception data (such as 5G user traffic at 4G sites, uplink and downlink rates, user complaints) and other information.

[0040] These data sets together constitute the above-mentioned target data set to provide basic data support for the evaluation of subsequent scenario traffic and network quality.

[0041] Step S104: determining at least one cell in each mobile network scenario according to the target data set.

[0042] In the technical solution provided in the above step S104, by analyzing the scene layer data set, the basic engineering parameter data set and the operation and maintenance data set of each cell in the target data set, it is determined which mobile network scene coverage service cell each cell in the target area belongs to.

[0043] Step S106: for each mobile network scenario, the scenario operation and maintenance health of the mobile network scenario under multiple business indicator dimensions is determined according to the operation and maintenance data set of each cell in the mobile network scenario.

[0044] In the technical solution provided in the above step S106, all cells in a specific mobile network scenario are analyzed to determine the scores of the mobile network scenario in different business indicator dimensions, wherein the business indicator dimensions include at least one of the following: coverage dimension, perception dimension, quality dimension, and efficiency dimension. Then, the scenario operation and maintenance health of the mobile network scenario is comprehensively determined according to the scores of the mobile network scenario in these business indicator dimensions.

[0045] Step S108, performing management operations on each mobile network scenario according to the scenario operation and maintenance health.

[0046] In the technical solution provided in the above step S108, each mobile network scenario is sorted based on the operation and maintenance health of the above scenario to determine the mobile network scenario with lower health, and the mobile network scenario with lower health is optimized to improve the network operation quality and user experience, while optimizing resource allocation and improving operational efficiency.

[0047] Based on the technical solution provided by the above steps S102-S108, it can be known that in the embodiment of the present application, by analyzing and processing the multi-source data set collected in the target area within the preset time period to identify the service cells in each mobile network scene, and by analyzing the relevant information of the service cells in a single mobile network scene, the comprehensive scene operation and maintenance health of a single mobile network scene is accurately evaluated from multiple business indicator dimensions, thereby achieving the purpose of improving the accuracy, efficiency and differentiation ability of the mobile network scene operation evaluation; in addition, the mobile network scene is managed and operated according to the scene operation and maintenance health of the mobile network scene, and the network can be managed and optimized efficiently and targetedly to improve the network operation quality and user experience. Thereby solving the technical problem that the relevant technology can only qualitatively evaluate the mobile network scene, but cannot comprehensively and quantitatively evaluate the operation of the mobile network scene, and at the same time, it can also avoid the problem that the evaluation criteria are unified, resulting in the inability to perform differentiated evaluation according to the scene category and resource allocation.

[0048] The following describes the various steps of the mobile network scenario operation and maintenance management method in combination with the specific implementation process.

[0049] As an optional implementation, in the technical solution provided in the above step S104, each cell in the target area is traversed, and the following analysis is performed on each cell to determine the ownership of the cell, including:

[0050] Step S1041, rasterize the cell to obtain multiple cell grids, and determine the grid longitude and latitude coordinates of each cell grid based on the basic engineering parameter data of the cell; determine the area of ​​each cell grid in the service area of ​​different mobile network scenarios based on the scene layer dataset and the basic engineering parameter dataset of the cell; determine the first number of MR recording information of each cell grid in each mobile network scenario based on the operation and maintenance dataset of the cell and the grid longitude and latitude coordinates of each cell grid in the cell.

[0051] The above step S1041 can be understood as: first, divide the cell coverage area into a series of uniformly sized cell grids (such as a grid of 20m*20m in size) according to the basic engineering parameter data of each cell, and determine the longitude and latitude coordinates of each cell grid to facilitate subsequent geographic information matching and data analysis; then, use the scene contour information in the scene layer dataset to determine whether the cell grid is located in the service area of ​​different mobile network scenarios. If so, calculate the area where the cell grid overlaps with the scene contour; at the same time, determine the first number of MR recording information of each cell grid in each mobile network scenario based on the cell's operation and maintenance dataset and the grid longitude and latitude coordinates of each cell grid in the cell.

[0052] Specifically, the operation and maintenance data set of each cell includes at least: multiple MR record information based on the Assisted Global Positioning System (AGPS) reported by multiple mobile terminals in the cell within a preset time period, and the MR record information includes at least one of the following: TA value, RSRP value. Therefore, in the embodiment of the present application, the first number of MR record information of each cell grid in each mobile network scenario can be determined according to the following method, including:

[0053] Step 1: Determine the longitude and latitude coordinates of the mobile terminal that reports each MR record information in each mobile network scenario based on the operation and maintenance data set of the cell. That is, based on the TA value and RSRP value in multiple MR record information of the cell within a preset time period, combined with the azimuth angle, frequency band information and other information of the cell, predict the longitude and latitude coordinates of the mobile terminal that reports each MR record information, and fill the predicted results back into the corresponding MR record information.

[0054] Step 2: According to the matching result of the longitude and latitude coordinates of the mobile terminal and the longitude and latitude coordinates of each cell grid, the MR record information of each cell grid in each mobile network scene is determined, and the MR record information of each cell grid in each mobile network scene is counted to obtain the first number of MR record information of the cell grid in each mobile network scene. In other words, the longitude and latitude coordinates of the mobile terminal are matched with the longitude and latitude coordinates of each cell grid to determine the MR record information belonging to each cell grid, and the MR record information belonging to the same cell grid is counted to obtain the first number of MR record information of the cell grid in each mobile network scene (i.e., the total number of MR records in a single cell grid).

[0055] Step S1042, for each cell grid in the cell, when the area of ​​the cell grid in the service area of ​​the target mobile network scenario is not less than a preset area threshold, and the first number of MR recording information of the cell grid in the target mobile network scenario is not less than a preset second threshold, it is determined that the cell corresponding to the cell grid is in the service area of ​​the mobile network scenario.

[0056] The above step S1042 can be understood as: based on whether the area of ​​the cell grid in the service area of ​​the specific mobile network scenario is not less than a preset area threshold (for example, 50%), and whether the first number of MR record information of the cell grid in the target mobile network scenario (i.e., the total number of records) is not less than a preset second threshold (such as 3 records), the cell grid covered by the specific mobile network scenario is screened out, and the cell corresponding to the cell grid is used as the cell in each mobile network scenario.

[0057] Furthermore, after determining the mobile network scenario to which each cell belongs, in order to more accurately evaluate the operation and maintenance health of each mobile network scenario, the cells under the coverage service of each mobile network scenario can be divided into associated levels to identify which cells have a significant impact on the operating status within the mobile network scenario and which cells have less impact, thereby avoiding giving higher weights to cells with light coverage, resulting in less accurate evaluation results of the scene's operation and maintenance health.

[0058] As an optional implementation, each cell in the mobile network scenario may be classified into association levels according to the following rules, including:

[0059] For each mobile network scenario, the latitude and longitude coordinates of any cell in the mobile network scenario are determined based on the scene layer dataset and the basic engineering parameter dataset of the cell to determine whether they are completely within the service area of ​​the mobile network scenario. In other words, it is determined whether the latitude and longitude coordinates of any cell in the mobile network scenario are within the scene contour set of the mobile network scenario.

[0060] If so, determining that the cell belongs to the first associated cell set of the mobile network scenario;

[0061] If not, determine the second number of MR record information in each cell grid of the cell in the mobile network scene according to the scene layer data set and the operation and maintenance data set of the cell, and judge whether the first ratio of the second number to the first total number of each cell grid of the cell is not less than a preset third threshold value (such as 20-30%);

[0062] If yes, determining that the cell belongs to the second associated cell set of the mobile network scenario;

[0063] If not, continue to determine whether a second ratio of the sum of the second number of MR record information in each cell grid of the cell in the mobile network scenario to the sum of the first number of MR record information in each cell grid of the cell is greater than a preset fourth threshold (such as 30%) and whether the first ratio is not less than a preset fifth threshold (such as 10%), wherein the fifth threshold is less than the third threshold;

[0064] If so, it is determined that the cell belongs to the third associated cell set of the mobile network scenario.

[0065] By repeatedly executing the above classification process, different associated cell sets for each mobile network scenario can be obtained, wherein the association level of the above first associated cell set is higher than that of the above second associated cell set, and the association level of the above second associated cell set is higher than that of the above third associated cell set.

[0066] In addition to the classification implementation schemes listed above, based on the basic concept of the present invention, those skilled in the art can also implement the association classification of each cell under the mobile network scenario coverage service through other technical schemes. For example, those skilled in the art may make changes to the above implementation schemes, which should also be within the protection scope of the present invention.

[0067] Furthermore, after knowing the association level of each cell within the coverage service of each mobile network scenario through the above steps, the scenario operation and maintenance health of the mobile network scenario under multiple business indicator dimensions can be comprehensively determined based on the operation and maintenance data set of each cell and combined with the association level of the cell, including:

[0068] Step S1061, determining the business indicator quantity of the mobile network scenario under multiple business indicator dimensions according to the operation and maintenance data set of each cell in the mobile network scenario and the association level of the associated cell set of the mobile network scenario to which each cell belongs.

[0069] In the technical solution provided in the above step S1061, the business indicator quantity of the mobile network scene under multiple business indicator dimensions is specifically weighted summed by the coverage data, wireless network performance data, and perception data in the operation and maintenance data set of each cell, respectively, with the weight coefficient corresponding to the cell, so as to obtain the business indicator quantity of the mobile network scene under multiple business indicator dimensions. Among them, the weight coefficient corresponding to the above cell is determined by the association level of the associated cell set of the mobile network scene to which each cell belongs, the second ratio of the sum of the second number of MR recording information in each cell grid of the cell in the mobile network scene to the sum of the first number of each cell grid of the cell. For example, if the association level of the associated cell set of the mobile network scene to which the area belongs is higher and the second ratio of each cell grid of the cell in the mobile network scene is larger, the weight coefficient of the cell is also higher; conversely, if the association level of the associated cell set of the mobile network scene to which the area belongs is lower and the second ratio of each cell grid of the cell in the mobile network scene is smaller, the weight coefficient of the cell is also lower.

[0070] In addition, the above-mentioned business indicators include at least one of the following: MR coverage rate and weakly associated cell grid ratio corresponding to the coverage dimension, access success rate, drop rate, switching success rate, and business excellence rate corresponding to the quality dimension, business data volume corresponding to the efficiency dimension, and transmission rate and complaint rate corresponding to the perception dimension.

[0071] Specifically, a mobile network scenario A includes n cells, and the weight coefficients corresponding to each cell are W1, W2, ..., W n , then the calculation methods of business indicator quantities under different business indicator dimensions can be specifically divided into:

[0072] (1) Calculation method of scenario data (such as business data volume).

[0073] Assume that the uplink and downlink service data volume of each of the n cells in the mobile network scenario A in the preset time period is {F1, F2, …, F n}, then the total amount of service data of the mobile network scenario A within the preset time period can be recorded as: Among them, W i represents the ith cell, F i Indicates the uplink and downlink service data volume of the ith cell within a preset time period.

[0074] (2) Calculation method of scene rate (ie, transmission rate).

[0075] According to the cell frequency band and bandwidth, each cell in the mobile network scenario is divided into multiple cell sets, and the downlink traffic (excluding tail packets), uplink traffic (excluding tail packets), downlink transmission time (excluding tail packets), and uplink transmission time (excluding tail packets) of the corresponding cell in each cell set are taken, and then the uplink and downlink rates of each frequency band in the mobile network scenario are calculated by weighted average according to the frequency band.

[0076] For example, mobile network scenario A includes two types of cells: Band1 20M and Band78 100M. When calculating the downlink rate of Band1 20M, you can first filter out the corresponding cell set {C1, C2, …, C k}, and obtain the corresponding cell downlink traffic (excluding the tail packet) {DF1, DF2,…, DF k} and downlink transmission time (excluding tail packet) {DT1,T,…,DT k}, then the downlink rate of Band 1 in mobile network scenario A is The calculation methods for uplink and downlink rates in other frequency bands are similar and will not be explained one by one here.

[0077] (3) Calculation methods for scenario indicators (such as access success rate, call drop rate, switching success rate, and service quality rate).

[0078] Get the denominator of the indicator {X1,X2,…,X n}, indicator numerator {Y1,Y2,…Y n},but

[0079] For example, when calculating the 5G call drop rate of mobile network scenario A, the number of successful 5G radio resource control RRC connections {ConS1, ConS2, …, ConS n} and the number of 5G RRC connection drops {ConD1,ConD2,…,ConD n}, and calculate the mobile network scenario A through the following formula

[0080] (4) Scene coverage calculation method.

[0081] First, the total number of MRs and the number of MR effective coverage of all cell grids corresponding to each cell in the specific scene are determined based on the scene layer dataset and the operation and maintenance dataset of each cell, where the number of MR effective coverage refers to the total number of MR records that meet the effective coverage conditions in the cell grid. It is generally believed that RSRP greater than or equal to -110dBm under 4G or 5G networks is considered to be effective coverage); then, for each cell grid in the specific scene, the total number of MRs of each cell in the cell grid and the number of MR effective coverage of each cell in the cell grid are summed up respectively to obtain the total number of MRs and the number of MR effective coverage of the cell grid, and the ratio of the number of MR effective coverage of the cell grid to the total number of MRs is taken as the MR coverage rate of the cell grid; finally, the MR coverage rates of each cell grid in the specific scene are summed up to obtain the MR coverage rate of the specific scene.

[0082] (5) Calculation method of scenario complaint rate.

[0083] First, the total number of user complaints in the scene contour area COMPLAIN is screened out by correlating the scene contour set of a specific scene with the latitude and longitude of the center point of the annual cumulative user complaints (complaint work order / grid). TOT Then, the MR records in each cell in the specific scenario are counted and deduplicated according to the user identifier (such as user number MSI, SDN) to obtain the number of users in each cell within a unit time (the unit can be day, week, etc.) to obtain the total number of users USER in the specific scenario. TOT =sum(U1,U2,…,U n ); Finally, based on the total number of users USER in a specific scenario TOT and the total number of user complaints in this scenario COMPLAIN TOT The ratio of , determines the complaint rate of a specific scenario.

[0084] Step S1062, determining the scores of the mobile network scenario in the multiple business indicator dimensions according to the relationship between the business indicator amounts of the mobile network scenario in the multiple business indicator dimensions and the indicator thresholds corresponding to the respective business indicator dimensions.

[0085] Among them, the above-mentioned coverage dimension includes the coverage rate sub-dimension and the weak correlation sub-dimension; the perception dimension includes the access sub-dimension, the retention sub-dimension, the mobility sub-dimension, and the service quality sub-dimension; the quality dimension includes the rate sub-dimension and the complaint sub-dimension. Therefore, the scores under the above-mentioned multiple service indicator dimensions include at least one of the following: the first score under the coverage rate sub-dimension corresponding to the MR coverage rate, the second score under the weak correlation sub-dimension corresponding to the weak correlation cell grid proportion, the third score under the access sub-dimension corresponding to the access success rate, the fourth score under the retention sub-dimension corresponding to the drop rate, the fifth score under the mobility sub-dimension corresponding to the switching success rate, the sixth score under the service quality sub-dimension corresponding to the service excellence rate, the seventh score under the efficiency dimension corresponding to the service data volume, the eighth score under the rate sub-dimension corresponding to the (uplink and downlink) transmission rate, and the ninth score under the complaint sub-dimension corresponding to the complaint rate.

[0086] Specifically, the process of determining the first score of the mobile network scenario in the coverage sub-dimension includes:

[0087] First, determine the relationship between the MR coverage and the preset coverage threshold, where the above coverage threshold is calculated by counting the MR coverage of each scene in the entire network. Then, according to the compliance rate of each scene of 90%, the initial coverage rate compliance threshold of each type of scene is calculated separately; finally, K-means clustering analysis is performed to divide them into K clusters as the coverage rate compliance threshold of each type of scene. Generally speaking, the various scenarios of the existing network can be analyzed and divided into three categories. The first category has a coverage threshold of 97.5%, which includes scenarios such as transportation hubs, tertiary hospitals, subways, government service centers, universities, and high-traffic business districts; the second category has a coverage threshold of 93%, which includes scenarios such as scenic spots and high-density residential areas; the third category has a coverage threshold of 95%, which includes scenarios such as urban villages and highways.

[0088] When the MR coverage is not less than the coverage threshold, the first score of the mobile network scenario under the coverage sub-dimension is determined to be 100. In the case of , the first score of the mobile network scenario under the coverage sub-dimension is The score is 100 points.

[0089] When the MR coverage is less than the coverage threshold, the difference between the coverage threshold and the MR coverage of the mobile network scenario is determined, and the score obtained by multiplying the ratio of the difference to the preset adjustment coefficient by the full score is determined, and the maximum value between the difference between the full score and the score and zero is used as the first score of the mobile network scenario in the coverage sub-dimension. That is, if the mobile network scenario In the case of , the expression of the first score is:

[0090] Specifically, the process of determining the second score of the mobile network scenario in the weak correlation sub-dimension includes:

[0091] First, determine the MR coverage of the cell grids of each cell in the mobile network scenario, and take the cell grids whose MR coverage is less than the coverage threshold as weakly associated cell grids, where the coverage threshold is the coverage threshold of the above scenario.

[0092] Next, the number of all weakly associated cell grids in the mobile network scenario and the number of all cell grids in the mobile network scenario are counted, and the proportion of weakly associated cell grids in the mobile network scenario is determined, that is, the ratio of the number of all weakly associated cell grids in the mobile network scenario to the number of all cell grids in the mobile network scenario is used as the proportion of weakly associated cell grids in the mobile network scenario.

[0093] Then, the relationship between the proportion of weakly associated cell grids and the preset first full score threshold and the preset first zero score threshold is determined, wherein the first full score threshold is the proportion of weakly associated cell grids in all scenarios of the existing network, denoted as TRESH1 100 , and the first zero-point threshold is the value of the bottom 5% of the weakly associated cell grid proportion in all scenarios of the existing network, denoted as TRESH10.

[0094] When the proportion of weakly associated cell grids is not higher than the first full score threshold, the second score of the mobile network scenario under the weakly associated sub-dimension is determined to be full score, that is, the second score Assign a value of 100.

[0095] When the proportion of weakly associated cell grids is higher than the first full score threshold, the ratio between the difference between the proportion of weakly associated cell grids in the mobile network scenario and the first full score threshold and the difference between the first zero score threshold and the first full score threshold is determined, and the maximum value between the difference between the full score minus the product of the ratio and the full score and zero score is taken as the second score of the mobile network scenario in the weakly associated sub-dimension, wherein the expression of the second score is:

[0096] Specifically, the third score under the access sub-dimension corresponding to the mobile network scenario access success rate, the fourth score under the hold sub-dimension corresponding to the drop rate, the fifth score under the mobility sub-dimension corresponding to the handover success rate, and the sixth score under the service quality sub-dimension corresponding to the service excellence rate are determined in a similar manner. The following will be collectively referred to as the score of the quality dimension, and the determination process of the third score, the fourth score, the fifth score and the sixth score will be described, including:

[0097] First, for each service indicator quantity corresponding to the quality dimension, determine the relationship between the service indicator quantity and the preset second full score threshold value and the preset second zero score threshold value, where the service indicator quantity is any one of the access success rate, the drop rate, the switching success rate, and the service quality rate, and the above second full score threshold value is the average value of the scenario indicator data of all scenarios in the existing network, recorded as TRESH2 100 , and the second zero-point threshold is set based on historical experience and is denoted as TRESH20.

[0098] For example, for the access success rate indicator, the corresponding second full score threshold value can be 99.5%, and the second zero score threshold value can be 98.5%; for the drop rate indicator, the corresponding second full score threshold value can be 0.1%, and the second zero score threshold value can be 0.2%; for the switching success rate indicator, the corresponding second full score threshold value can be 99%, and the second zero score threshold value can be 98%; for the service quality rate indicator, the corresponding second full score threshold value can be 0.1%, and the second zero score threshold value can be 0.2%.

[0099] When the service indicator amount is not less than the second full score threshold, it is determined that the score of the mobile network scenario in the quality dimension is full score, that is, the score SCORE of the mobile network scenario in the quality dimension is assigned to 100.

[0100] When the service indicator quantity is less than the second zero-score threshold value, it is determined that the score of the mobile network scenario in the quality dimension is zero, that is, the score SCORE of the mobile network scenario in the quality dimension is assigned a value of 0.

[0101] When the service indicator amount is less than the second full score threshold value and not less than the second zero score threshold value, determine the ratio between the difference between the second full score threshold value and the service indicator amount of the mobile network scenario and the difference between the second full score threshold value and the second zero score threshold value, and take the maximum value between the difference between the full score and the product of the ratio and the full score and zero score as the score of the mobile network scenario in the quality dimension, that is, the score of the mobile network scenario in the quality dimension SCORE=100-(TRESH2 100 –SENCE KPI ) / (TRESH2 100 -TRESH20)*100.

[0102] It should be noted that, for the access sub-dimension, the access success rate generally includes: wireless connection success rate and voice establishment success rate. Therefore, when determining the third score of the mobile network scenario under the access sub-dimension, the average of the score corresponding to the wireless connection success rate of the mobile network scenario and the score corresponding to the voice establishment success rate of the mobile network scenario can be taken, that is:

[0103] Score corresponding to wireless connection success rate Specifically: If Then the score is 100; otherwise,

[0104] The score corresponding to the success rate of voice establishment Specifically: If Then the score is 100; otherwise,

[0105] Therefore, the third score of the mobile network scenario in the access sub-dimension is

[0106] For the retention sub-dimension, the drop rate generally includes: E-RAB (Evolved Radio Access Bearer) drop rate and voice drop rate. Therefore, when determining the fourth score of the mobile network scenario under the retention sub-dimension, the average of the score corresponding to the E-RAB drop rate of the mobile network scenario and the score corresponding to the voice drop rate of the mobile network scenario can be taken, that is:

[0107] The score corresponding to E-RAB drop rate Specifically: If Then the score is 100; otherwise,

[0108] Score corresponding to the voice drop rate Specifically: If Then the score is 100; otherwise,

[0109] Therefore, the fourth score of the mobile network scenario under the maintenance sub-dimension is

[0110] For the mobility sub-dimension, both 4G and 5G networks involve the switching success rate, and the 5G network also includes the switching success rate from VoNR (Voice over New Radio) to VOLTE (Voice over Long-Term Evolution, LTE voice). Therefore, the fifth score under the mobility sub-dimension of the 5G network corresponding to the mobile network scenario is the average of the score corresponding to the switching success rate and the score corresponding to the switching success rate from VoNR to VOLTE, that is:

[0111] The score corresponding to the success rate of switching within the system Specifically: If Then the score is 100; otherwise,

[0112] The score corresponding to the success rate of switching from VoNR to VOLTE Specific: if Then the score is 100; otherwise,

[0113] Therefore, the fifth score of the mobility sub-dimension of the 4G network corresponding to the mobile network scenario is The fifth score of the mobility sub-dimension of the 5G network corresponding to the mobile network scenario is

[0114] For the service quality sub-dimension, the service quality rate includes: CQI (Channel Quality Indicator) quality rate and voice packet loss rate. Therefore, when determining the sixth score of the mobile network scenario under the service quality sub-dimension, the average of the score corresponding to the CQI quality rate of the mobile network scenario and the score corresponding to the voice packet loss rate of the mobile network scenario can be taken, that is:

[0115] The score corresponding to the CQI excellent rate Specifically: If Then the score is 100; otherwise,

[0116] Score corresponding to the voice packet loss rate Specifically: If 0.1%, then the score is 100; otherwise,

[0117] Therefore, the mobile network scenario is rated sixth in the service quality sub-dimension.

[0118] Specifically, the process of determining the seventh score of the mobile network scenario in the performance dimension includes:

[0119] First, the weight coefficient of each cell in the mobile network scenario is determined based on the first ratio of each cell grid in each cell in the mobile network scenario and the association level of the associated cell set of the mobile network scenario to which each cell belongs. That is, the weight coefficient of each cell is determined comprehensively based on the association level of the associated cell set of the mobile network scenario to which the cell belongs and the MR proportion of each cell grid in the cell.

[0120] Then, the weighted sum of the weight coefficient of each cell and the preset efficiency threshold is used as the scenario efficiency threshold of the mobile network scenario. Among them, the preset efficiency threshold corresponding to each cell is the value of the average flow of other cells with the same frequency band and bandwidth in the whole network within the preset time period according to the frequency band and bandwidth of the cell, which is the TOP90% value, and the efficiency threshold can be recorded as CELL TREsH Therefore, the scene performance threshold of the mobile network scene can be expressed as:

[0121] Finally, the product of the ratio of the business data volume of the mobile network scenario to the scenario efficiency threshold and the full score, and the minimum value between the full scores are taken as the seventh score of the mobile network scenario in the efficiency dimension. Therefore, the seventh score can be expressed as: EFFICIENCY sCORE =min(100,FLow / TRESH*100).

[0122] Specifically, the process of determining the eighth score of the mobile network scenario in the (uplink and downlink) rate sub-dimension includes:

[0123] Determine the relationship between the transmission rate of the mobile network scenario in different frequency bands and bandwidths and the preset third full score threshold (also known as the perception standard threshold) and the third zero score threshold (also known as the perception 0 score threshold), wherein the third full score threshold is the value of the TOP80% of the rate of all cells in the entire network, recorded as TRESH3 100 , and the third zero-point threshold is the value of the top 90% of all cell rates in the entire network, TRESH30. In addition, based on the statistical analysis of the existing network, the perceived standard threshold of 3.5G 100M is 40Mbps, and the perceived zero-point threshold is 10Mbps; the perceived standard threshold of 2.1G / 1.8G 20M is 10Mbps, and the perceived zero-point threshold is 2Mbps; the perceived standard threshold of 800M 10M is 5Mbps, and the perceived zero-point threshold is 1Mbps.

[0124] When the transmission rate of the mobile network scenario in a single frequency band and bandwidth is not lower than the third full score threshold, the score of the rate sub-dimension of the mobile network scenario in a single frequency band and bandwidth is determined to be full score.

[0125] When the transmission rate of the mobile network scenario in a single frequency band and bandwidth is lower than the third zero-score threshold, the score of the rate sub-dimension of the mobile network scenario in a single frequency band and bandwidth is determined to be zero.

[0126] When the transmission rate of the mobile network scenario in the frequency band and bandwidth is lower than the third full score threshold but not lower than the third zero score threshold, determine the ratio between the difference between the third full score threshold and the transmission rate of the mobile network scenario and the difference between the third full score threshold and the third zero score threshold, and take the maximum value between the difference between the full score minus the product of the ratio and the full score and zero as the score of the rate sub-dimension of the mobile network scenario in a single frequency band and bandwidth.

[0127] For example, the score corresponding to the uplink perceived rate of a single frequency band and bandwidth in the mobile network scenario Specifically: If UL VELOCITY ≥TRESH3 100 , then the score is 100; otherwise,

[0128] Scores corresponding to the downlink perceived rate in a single frequency band and bandwidth in the mobile network scenario Specifically: If DL VELOCITY ≥TRESH3 100 , then the score is 100; otherwise,

[0129] Finally, the average of the scores of the rate sub-dimension of the mobile network scenario in each frequency band and bandwidth is taken as the eighth score of the mobile network scenario in the rate sub-dimension. Therefore, the eighth score may include: the eighth score corresponding to the uplink perceived rate The eighth score DL corresponding to the downlink perceived rate VELOCITYSCORE =∑ Band,Bandwidth DL VELOCITYSCORE / n.

[0130] Specifically, the process of determining the ninth score of the mobile network scenario in the complaint sub-dimension includes:

[0131] Determine the relationship between the complaint rate of the mobile network scenario and the preset fourth full score threshold and the fourth zero score threshold, wherein the fourth full score threshold is the average of the complaint rates of all scenarios in the current network, recorded as TRESH4 100 The fourth zero-point threshold is a multiple of the average complaint rate of all scenarios in the current network, such as TRESH40 = 5*TRESH4 100 .

[0132] If the complaint rate of the mobile network scenario is not lower than the fourth full score threshold, the ninth score of the mobile network scenario in the complaint sub-dimension is determined to be full score. RATE ≥TRESH4 100 , then the ninth score is 100.

[0133] When the complaint rate of the mobile network scenario is lower than the fourth full score threshold, determine the ratio between the difference between the complaint rate of the mobile network scenario and the fourth full score threshold and the difference between the fourth zero score threshold and the fourth full score threshold, and take the maximum value between the difference between the full score minus the product of the ratio and the full score and zero score as the ninth score of the mobile network scenario in the complaint sub-dimension. That is: COMPLAIN RATE <TRESH4 100 , then the ninth score COMPLAIN SCORE =max[0,100–(COMPLAIN RATE –TRESH4 100 ) / (TRESH40–TRESH4 100 )*100].

[0134] Step S1063, determining the scene operation and maintenance health of the mobile network scene in multiple business indicator dimensions according to the scores of the mobile network scene in each business indicator dimension.

[0135] Specifically, the CRITIC weight method is used to determine the indicator weights of each business indicator dimension layer by layer. For example, the weight coefficient of the coverage sub-dimension can be 20%, and the weight coefficient of the weak correlation sub-dimension can be 10%; the weight coefficient of the access sub-dimension can be 6%, the weight coefficient of the retention sub-dimension can be 6%, the weight coefficient of the mobility sub-dimension can be 6%, and the weight coefficient of the service quality sub-dimension can be 12%; the weight coefficient of the uplink rate sub-dimension can be 3%, the weight coefficient of the downlink rate sub-dimension can be 12%, and the weight coefficient of the complaint sub-dimension can be 10%; the weight coefficient of the efficiency dimension can be 15%. Then, the scores of the mobile network scenarios under each business indicator dimension are weighted and summed with the indicator weights of each business indicator dimension to obtain the scenario operation and maintenance health of the mobile network scenario under multiple business indicator dimensions.

[0136] Among them, the above-mentioned CRITIC weighting method is an objective weighting method based on data volatility, and its idea lies in the volatility (comparative strength) index and the conflict (correlation) index. The comparative strength can be identified by the standard deviation. If the data standard deviation is larger, the volatility is greater, and the weight will be higher; while the conflict is identified by the correlation coefficient. If the correlation coefficient value between the indicators is larger, the conflict is smaller, and the corresponding weight is lower. The above-mentioned method for determining the indicator weight is only described as an example, and this application does not make any specific restrictions on this determination method.

[0137] After determining the scenario operation and maintenance health of a single mobile network scenario through the above steps S1061-S1063, the size relationship between the scenario operation and maintenance health and the preset health threshold can be determined. If the scenario operation and maintenance health is higher than the preset health threshold, it means that the network health corresponding to the mobile network scenario meets the standard. In addition, if both the 4G network and the 5G network corresponding to the mobile network scenario meet the standard, it means that the mobile network scenario meets the comprehensive standard of the 4 / 5G network.

[0138] If the scene operation and maintenance health is lower than the preset health threshold, the abnormal mobile network scenes whose scene operation and maintenance health is lower than the preset health threshold can be determined first; then, the abnormal mobile network scenes are optimized and managed according to the preset optimization strategy, wherein the optimization strategy includes at least one of the following: network expansion, resource scheduling, and parameter optimization.

[0139] Specifically, when optimizing abnormal mobile network scenarios, the management priority of each abnormal mobile network scenario can be determined according to the level of scenario operation and maintenance health of each abnormal mobile network scenario. Generally, the lower the scenario operation and maintenance health, the higher the corresponding management priority, and it is preferred to optimize the management. At the same time, different optimization measures can be formulated for abnormal mobile network scenarios with different management priorities, where the optimization measures include but are not limited to: network optimization, resource scheduling, troubleshooting, etc. In addition, after implementing the optimization management operation, continuously monitor the network quality and user perception of each optimized scenario, and regularly re-evaluate the scenario operation and maintenance health to ensure the network optimization effect and adjust the management strategy in a timely manner.

[0140] Through the above-mentioned mobile network scenario operation and maintenance management method, four business indicator dimensions of coverage, quality, efficiency and perception and their subordinate sub-dimensions are proposed to build a multi-dimensional differentiated comprehensive health evaluation system for mobile network scenario operations. At the same time, the traditional qualitative evaluation is converted into a quantitative evaluation, thereby greatly expanding the breadth and depth of the evaluation, so that the health of the scenario operation is adapted to the improvement of network quality perception and market development needs, and greatly improving the accuracy of the mobile network scenario evaluation. In addition, in the above scheme, based on the MR proportion of the cell grid in the scene-associated cell and the association level of the associated cell set of the mobile network scenario to which each cell belongs, the cell weight of each cell is comprehensively determined, and combined with the business indicator volume of each cell, the accuracy of the scene business calculation is greatly improved, avoiding the problem of excessive business volume caused by counting the full amount of business of the associated cell into the scene. In addition, during the entire evaluation process, based on the differentiated business requirements of different classification scenarios, we propose scenario-specific coverage evaluations, as well as differentiated resource allocation efficiency and perception rate evaluations based on different frequency bands and bandwidths. This enables differentiated scenario operation evaluations based on scenario categories and resource allocations, and improves the accuracy of scenario resource efficiency and operational efficiency, thereby significantly reducing the probability of scenario operation assurance such as over-allocation, low efficiency, and poor targeting (difficulty in adapting to scenario business characteristics).

[0141] Example 2

[0142] According to an embodiment of the present application, a mobile network scenario operation and maintenance management device for implementing the mobile network scenario operation and maintenance management method in embodiment 1 is also provided. Figure 2 As shown, the mobile network scenario operation and maintenance management device at least includes: an acquisition module 22, a determination module 24, an evaluation module 26 and a management module 28, wherein:

[0143] The acquisition module 22 is used to acquire a target data set of the target area within a preset time period, wherein the target data set at least includes: a scene layer data set for reflecting different mobile network scene information of the target area, a basic engineering parameter data set for reflecting the physical location information of each cell in the target area, and an operation and maintenance data set for reflecting the measurement report MR record information of each cell in the target area;

[0144] A determination module 24, configured to determine at least one cell in each mobile network scenario according to the target data set;

[0145] An evaluation module 26 is used to determine, for each mobile network scenario, the scenario operation and maintenance health of the mobile network scenario under multiple business indicator dimensions according to the operation and maintenance data set of each cell in the mobile network scenario, wherein the business indicator dimension includes at least one of the following: coverage dimension, perception dimension, quality dimension, and efficiency dimension;

[0146] The management module 28 is used to perform management operations on each mobile network scenario according to the scenario operation and maintenance health.

[0147] It should be noted that each module in the mobile network scenario operation and maintenance management device in the embodiment of the present application corresponds one by one to each implementation step of the mobile network scenario operation and maintenance management method in Example 1. Since a detailed description has been given in Example 1, some details not reflected in this embodiment can be referred to Example 1 and will not be repeated here.

[0148] Example 3

[0149] According to an embodiment of the present application, a computer program product is also provided, which includes a computer program, wherein when the computer program is executed by a processor, the mobile network scenario operation and maintenance management method in Example 1 is implemented.

[0150] According to an embodiment of the present application, a non-volatile storage medium is also provided, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the mobile network scenario operation and maintenance management method in Example 1 by running the computer program.

[0151] According to an embodiment of the present application, a processor is also provided, which is used to run a computer program, wherein the mobile network scenario operation and maintenance management method in Example 1 is executed when the computer program is running.

[0152] According to an embodiment of the present application, an electronic device is also provided, which includes: a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute the mobile network scenario operation and maintenance management method in Example 1 through the computer program.

[0153] Optionally, when the computer program is running, the following steps are executed: obtaining a target data set of the target area within a preset time period, wherein the target data set includes at least: a scene layer data set for reflecting different mobile network scene information of the target area, a basic engineering parameter data set for reflecting the physical location information of each cell in the target area, and an operation and maintenance data set for reflecting the measurement report MR record information of each cell in the target area; determining at least one cell in each mobile network scene based on the target data set; for each mobile network scene, determining the scene operation and maintenance health of the mobile network scene under multiple business indicator dimensions based on the operation and maintenance data sets of each cell in the mobile network scene, wherein the business indicator dimensions include at least one of the following: coverage dimension, perception dimension, quality dimension, and efficiency dimension; and performing management operations on each mobile network scene based on the scene operation and maintenance health.

[0154] As an optional implementation, the electronic device may be in the form of a mobile terminal, a computer terminal or a similar computing device. Figure 3The hardware structure block diagram of an electronic device for implementing a mobile network scenario operation and maintenance management method is shown. Figure 3 As shown, the electronic device 30 may include one or more (302a, 302b, ..., 302n are used to illustrate) processors 302 (the processor 302 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 304 for storing data, and a transmission device 306 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 3 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 3 More or fewer components as shown, or with Figure 3 Different configurations shown.

[0155] It should be noted that the one or more processors 302 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the electronic device 30. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0156] The memory 304 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the mobile network scenario operation and maintenance management method in the embodiment of the present application. The processor 302 executes various functional applications and data processing by running the software programs and modules stored in the memory 304, that is, realizing the vulnerability detection method of the above-mentioned application. The memory 304 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 304 may further include a memory remotely arranged relative to the processor 302, and these remote memories may be connected to the electronic device 30 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0157] The transmission device 306 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the electronic device 30. In one example, the transmission device 306 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 306 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0158] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the electronic device 30 .

[0159] The serial numbers of the above embodiments are only for description and do not represent the advantages or disadvantages of the embodiments.

[0160] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0161] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0162] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0163] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0164] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), mobile hard disk, disk or optical disk, etc., which can store program code.

[0165] The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A mobile network scenario operation and maintenance management method, characterized in that: include: Obtain a target data set of a target area within a preset time period, wherein the target data set at least includes: a scene layer data set for reflecting different mobile network scene information of the target area, a basic engineering parameter data set for reflecting the physical location information of each cell in the target area, and an operation and maintenance data set for reflecting the measurement report MR record information of each cell in the target area; Determining at least one cell in each mobile network scenario according to the target data set; For each of the mobile network scenarios, determining the scenario operation and maintenance health of the mobile network scenario under multiple business indicator dimensions according to the operation and maintenance data set of each cell in the mobile network scenario, wherein the business indicator dimensions include at least one of the following: coverage dimension, perception dimension, quality dimension, and efficiency dimension; Management operations are performed on each of the mobile network scenarios according to the scenario operation and maintenance health.

2. The method according to claim 1, characterized in that Determining at least one cell in each mobile network scenario according to the target data set includes: For each cell in the target area, rasterize the cell to obtain a plurality of cell grids, and determine the grid longitude and latitude coordinates of each cell grid according to the basic engineering parameter data of the cell; determine the area of ​​each cell grid in the service area of ​​different mobile network scenes according to the scene layer dataset and the basic engineering parameter dataset of the cell; determine the first number of MR recording information of each cell grid in each mobile network scene according to the operation and maintenance dataset of the cell and the grid longitude and latitude coordinates of each cell grid in the cell; For each cell grid within the cell, when the area of ​​the cell grid within the service area of ​​the target mobile network scenario is not less than a preset area threshold, and the first number of MR recording information of the cell grid in the target mobile network scenario is not less than a preset second threshold, it is determined that the cell corresponding to the cell grid is in the service area of ​​the mobile network scenario.

3. The method according to claim 2, characterized in that The operation and maintenance data set at least includes: multiple MR record information based on the assisted global satellite positioning system reported by multiple mobile terminals in the cell within a preset time period, and the MR record information includes at least one of the following: a time advance TA value, a reference signal received power RSRP value, wherein the first number of MR record information of each of the cell grids in each mobile network scenario is determined based on the operation and maintenance data set of the cell and the grid longitude and latitude coordinates of each cell grid in the cell, including: Determine, based on the operation and maintenance data set of the cell, the longitude and latitude coordinates of the mobile terminal that reports each MR recording information in each mobile network scenario of the cell; Based on the matching results of the longitude and latitude coordinates of the mobile terminal and the longitude and latitude coordinates of each cell grid, the MR recording information of each cell grid in each mobile network scene is determined, and the MR recording information of each cell grid in each mobile network scene is counted to obtain the first number of MR recording information of the cell grid in each mobile network scene.

4. The method according to claim 2, characterized in that: The basic engineering parameter data set includes at least: the latitude and longitude coordinates of the cell, and the scene layer data set includes at least: the coverage area of ​​different mobile network scenes. Before determining the scene operation and maintenance health of the mobile network scene under multiple business indicator dimensions based on the operation and maintenance data set of each cell in the mobile network scene, the method further includes: For each of the mobile network scenarios, judging whether the cell longitude and latitude coordinates of any cell in the mobile network scenario are completely within the service area of ​​the mobile network scenario based on the scene layer dataset and the basic engineering parameter dataset of the cell; If yes, determining that the cell belongs to the first associated cell set of the mobile network scenario; If not, determining a second number of MR record information in each cell grid of the cell in the mobile network scene according to the scene layer data set and the operation and maintenance data set of the cell, and judging whether a first ratio of the second number to the first number of each cell grid of the cell is not less than a preset third threshold; If yes, determining that the cell belongs to a second associated cell set of the mobile network scenario; If not, determining whether a second ratio of the sum of the second number of MR recording information in each cell grid of the cell in the mobile network scenario to the sum of the first number of MR recording information in each cell grid of the cell is greater than a preset fourth threshold and whether the first ratio is not less than a preset fifth threshold, wherein the fifth threshold is less than the third threshold; If yes, determining that the cell belongs to a third associated cell set of the mobile network scenario; The association level of the first associated cell set is higher than that of the second associated cell set, and the association level of the second associated cell set is higher than that of the third associated cell set.

5. The method according to claim 4, characterized in that Determining the scene operation and maintenance health of the mobile network scene under multiple business indicator dimensions according to the operation and maintenance data set of each cell in the mobile network scene, including: According to the operation and maintenance data set of each cell in the mobile network scenario and the association level of the associated cell set of the mobile network scenario to which each cell belongs, determine the business indicator quantity of the mobile network scenario under multiple business indicator dimensions, wherein the business indicator quantity includes at least one of the following: MR coverage rate and weakly associated cell grid proportion corresponding to the coverage dimension, access success rate, drop rate, switching success rate, and business excellence rate corresponding to the quality dimension, business data volume corresponding to the performance dimension, and transmission rate and complaint rate corresponding to the perception dimension; According to the size relationship between the business indicator amount of the mobile network scenario in multiple business indicator dimensions and the indicator threshold value corresponding to each business indicator dimension, the score of the mobile network scenario in multiple business indicator dimensions is determined, wherein the scores in the multiple business indicator dimensions include at least one of the following: a first score under the coverage sub-dimension corresponding to the MR coverage rate, a second score under the weak correlation sub-dimension corresponding to the weak correlation cell grid proportion, a third score under the access sub-dimension corresponding to the access success rate, a fourth score under the hold sub-dimension corresponding to the drop rate, a fifth score under the mobility sub-dimension corresponding to the switching success rate, a sixth score under the business quality sub-dimension corresponding to the business excellence rate, a seventh score under the efficiency dimension corresponding to the business data volume, an eighth score under the rate sub-dimension corresponding to the transmission rate, and a ninth score under the complaint sub-dimension corresponding to the complaint rate; The scene operation and maintenance health of the mobile network scene in multiple business indicator dimensions is determined according to the score of the mobile network scene in each of the business indicator dimensions.

6. The method according to claim 5, characterized in that Determining the scores of the mobile network scenario in the multiple business indicator dimensions according to the relationship between the business indicator amounts of the mobile network scenario in the multiple business indicator dimensions and the indicator thresholds corresponding to the respective business indicator dimensions, including: Determining the magnitude relationship between the MR coverage and a preset coverage threshold; When the MR coverage is not less than the coverage threshold, determining that the first score of the mobile network scenario under the coverage sub-dimension is full score; When the MR coverage rate is less than the coverage rate threshold, the difference between the coverage rate threshold and the MR coverage rate of the mobile network scenario is determined, and the score obtained by multiplying the ratio of the difference to the preset adjustment coefficient by the full score is determined, and the maximum value between the difference between the full score and the score minus zero is used as the first score of the mobile network scenario under the coverage sub-dimension.

7. The method according to claim 5, characterized in that Determining the scores of the mobile network scenario in the multiple business indicator dimensions according to the relationship between the business indicator amounts of the mobile network scenario in the multiple business indicator dimensions and the indicator thresholds corresponding to the respective business indicator dimensions, including: Determine the MR coverage of the cell grid of each cell in the mobile network scenario, and take the cell grid whose MR coverage is less than the coverage threshold as a weakly associated cell grid; Counting the number of all weakly associated cell grids in the mobile network scenario and the number of all cell grids in the mobile network scenario, and determining the proportion of weakly associated cell grids in the mobile network scenario; Determine the relationship between the proportion of the weakly associated cell grid and a preset first full score threshold and a preset first zero score threshold; When the proportion of the weakly associated cell grid is not higher than the first full score threshold, determining that the second score of the mobile network scenario in the weakly associated sub-dimension is full score; When the proportion of weakly associated cell grids is higher than the first full score threshold, determine the ratio between the difference between the proportion of weakly associated cell grids in the mobile network scenario and the first full score threshold and the difference between the first zero score threshold and the first full score threshold, and take the maximum value between the difference between the full score minus the product of the ratio and the full score and zero as the second score of the mobile network scenario in the weak association sub-dimension.

8. The method according to claim 5, characterized in that Determining the scores of the mobile network scenario in the multiple business indicator dimensions according to the relationship between the business indicator amounts of the mobile network scenario in the multiple business indicator dimensions and the indicator thresholds corresponding to the respective business indicator dimensions, including: For each service indicator quantity corresponding to the quality dimension, determine the relationship between the service indicator quantity and a preset second full score threshold value and a preset second zero score threshold value, wherein the service indicator quantity is any one of an access success rate, a drop rate, a switching success rate, and a service quality rate; When the service indicator amount is not less than the second full score threshold, determining that the score of the mobile network scenario in the quality dimension is full score; When the service indicator value is less than the second zero-score threshold, determining that the score of the mobile network scenario in the quality dimension is zero; When the service indicator amount is less than the second full score threshold value and not less than the second zero score threshold value, determine the ratio between the difference between the second full score threshold value and the service indicator amount of the mobile network scenario and the difference between the second full score threshold value and the second zero score threshold value, and use the maximum value between the difference between the full score and the product of the ratio and the full score and zero score as the score of the mobile network scenario in the quality dimension; Among them, the score of the mobile network scenario under the quality dimension includes: the third score of the access sub-dimension corresponding to the access success rate, the fourth score of the retention sub-dimension corresponding to the drop rate, the fifth score of the mobility sub-dimension corresponding to the switching success rate, and the sixth score of the service quality sub-dimension corresponding to the service excellence rate.

9. The method according to claim 5, characterized in that Determining the scores of the mobile network scenario in the multiple business indicator dimensions according to the relationship between the business indicator amounts of the mobile network scenario in the multiple business indicator dimensions and the indicator thresholds corresponding to the respective business indicator dimensions, including: Determine a weight coefficient of each cell in the mobile network scenario according to a first ratio of each cell grid in each cell in the mobile network scenario and an association level of an associated cell set to which each cell belongs in the mobile network scenario; The weighted sum of the weight coefficient of each cell and the preset performance threshold is used as the scene performance threshold of the mobile network scene; The product of the ratio of the business data volume of the mobile network scenario to the scenario performance threshold and the full score, and the minimum value between the full scores are used as the seventh score of the mobile network scenario in the performance dimension.

10. The method according to claim 5, characterized in that Determining the scores of the mobile network scenario in the multiple business indicator dimensions according to the relationship between the business indicator amounts of the mobile network scenario in the multiple business indicator dimensions and the indicator thresholds corresponding to the respective business indicator dimensions, includes: Determine the relationship between the transmission rate of the mobile network scenario in different frequency bands and bandwidths and a preset third full score threshold and a third zero score threshold; When the transmission rate of the mobile network scenario in a single frequency band and bandwidth is not lower than the third full score threshold, determining that the score of the rate sub-dimension of the mobile network scenario in a single frequency band and bandwidth is full score; When the transmission rate of the mobile network scenario in a single frequency band and bandwidth is lower than the third zero-score threshold, determining that the score of the rate sub-dimension of the mobile network scenario in a single frequency band and bandwidth is zero; In a case where the transmission rate of the mobile network scenario in the frequency band and bandwidth is lower than the third full score threshold value and not lower than the third zero score threshold value, determining the ratio between the difference between the third full score threshold value and the transmission rate of the mobile network scenario and the difference between the third full score threshold value and the third zero score threshold value, and taking the maximum value between the difference between the full score and the product of the ratio and the full score and zero score as the score of the rate sub-dimension of the mobile network scenario in the single frequency band and bandwidth; The average value of the scores of the rate sub-dimension of the mobile network scenario in each frequency band and bandwidth is used as the eighth score of the mobile network scenario in the rate sub-dimension.

11. The method according to claim 5, characterized in that Determining the scores of the mobile network scenario in the multiple business indicator dimensions according to the relationship between the business indicator amounts of the mobile network scenario in the multiple business indicator dimensions and the indicator thresholds corresponding to the respective business indicator dimensions, includes: Determine the relationship between the complaint rate of the mobile network scenario and a preset fourth full score threshold and a fourth zero score threshold; When the complaint rate of the mobile network scenario is not lower than the fourth full score threshold, determining that the ninth score of the mobile network scenario in the complaint sub-dimension is full score; When the complaint rate of the mobile network scenario is lower than the fourth full score threshold, determine the ratio between the difference between the complaint rate of the mobile network scenario and the fourth full score threshold and the difference between the fourth zero score threshold and the fourth full score threshold, and take the maximum value between the difference between the full score minus the product of the ratio and the full score and zero as the ninth score of the mobile network scenario in the complaint sub-dimension.

12. The method according to claim 1, characterized in that Performing management operations on each of the mobile network scenarios according to the scenario operation and maintenance health, including: Determine an abnormal mobile network scenario whose scenario operation and maintenance health is lower than a preset health threshold value among the scenario operation and maintenance health of each of the mobile network scenarios; The abnormal mobile network scenario is optimized and managed according to a preset optimization strategy, wherein the optimization strategy includes at least one of the following: network capacity expansion, resource scheduling, and parameter optimization.

13. A mobile network scene operation and maintenance management device, characterized in that: include: An acquisition module is used to acquire a target data set of a target area within a preset time period, wherein the target data set at least includes: a scene layer data set for reflecting different mobile network scene information of the target area, a basic engineering parameter data set for reflecting the physical location information of each cell in the target area, and an operation and maintenance data set for reflecting the measurement report MR record information of each cell in the target area; A determination module, configured to determine at least one cell in each mobile network scenario according to the target data set; An evaluation module is used to determine, for each of the mobile network scenarios, the scenario operation and maintenance health of the mobile network scenario under multiple business indicator dimensions according to the operation and maintenance data set of each cell in the mobile network scenario, wherein the business indicator dimension includes at least one of the following: coverage dimension, perception dimension, quality dimension, and efficiency dimension; The management module is used to perform management operations on each of the mobile network scenarios according to the operation and maintenance health of the scenario.

14. A computer program product, characterized in that include: A computer program, wherein when the computer program is executed by a processor, the mobile network scenario operation and maintenance management method described in any one of claims 1 to 12 is implemented.

15. An electronic device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the mobile network scenario operation and maintenance management method according to any one of claims 1 to 12 through the computer program.

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