Operation and maintenance management system suitable for 5G integrated high-power skin base station

Abstract

The present application relates to the field of skin base station operation and maintenance technology, especially to the operation and maintenance management system suitable for 5G integrated high-power skin base station, including the operation and maintenance management center of skin base station, space area marking unit, operation and maintenance matching unit, fault work order division unit, work order management unit and operation and maintenance response unit; the present application preliminarily starts from the establishment angle of three-dimensional space, and combines the life cycle-environment-load of skin base station to carry out fault analysis, so as to position and feedback the running state of each skin base station in the target area, and manage the repair work order of the skin base station to be operated and maintained through the information feedback mode, so as to reasonably distribute the operation and maintenance task of the skin base station to be operated and maintained, which helps to reduce the fault influence of the skin base station to be operated and maintained, and further reasonably regulates and controls the repair work order of the operation and maintenance personnel in the target area according to the task saturation of the operation and maintenance personnel, on the one hand, improves the operation and maintenance efficiency of the skin base station to be operated and maintained, and on the other hand, reduces the work pressure of the operation and maintenance personnel.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of skin base station operation and maintenance technology, and particularly relates to an operation and maintenance management system suitable for 5G integrated high-power skin base stations. BACKGROUND

[0002] With the wide deployment of 5G communication technology, 5G integrated high-power skin base stations are key equipment for realizing indoor deep coverage, and their stable operation is crucial to network quality. Traditional operation and maintenance management systems usually use single-dimensional index monitoring methods, such as independent monitoring of device performance parameters (such as CPU utilization, power output, etc.), which cannot fully reflect the degradation trend of the device in complex operating environments.

[0003] In addition, the existing technology has the following deficiencies in fault prediction: lack of coordinated analysis of multi-dimensional factors such as device life cycle, environmental parameters (such as temperature, humidity, electromagnetic interference), and business load, resulting in low efficiency of skin base station fault identification, difficulty in reasonable work order sorting based on the impact of skin base stations, leading to increased impact of skin base station faults, and difficulty in reasonable work order adjustment based on the task saturation of operation and maintenance personnel, leading to increased work pressure and reduced operating efficiency of operation and maintenance personnel.

[0004] In view of the above technical defects, a solution is proposed. SUMMARY

[0005] The present application aims to provide an operation and maintenance management system suitable for 5G integrated high-power skin base stations to solve the above technical defects. The present application preliminarily starts from the establishment of three-dimensional space, and combines the life cycle, environment, and load of the skin base station for fault analysis, in order to locate and feedback the operating status of each skin base station in the target area, and intuitively understand the current status of each skin base station through visual angle, and carry out targeted operation and maintenance management of each skin base station according to the information feedback, in order to improve the operation and maintenance efficiency and timeliness of the target skin base station. The maintenance work order of the skin base station to be maintained is managed through information feedback, in order to reasonably allocate the operation and maintenance tasks of the skin base station to be maintained, which helps to reduce the impact of the skin base station to be maintained, and further regulates and controls the maintenance work order of the operation and maintenance personnel in the target area according to the task saturation of the operation and maintenance personnel, on the one hand, improves the operation and maintenance efficiency of the skin base station to be maintained, and on the other hand, reduces the work pressure of the operation and maintenance personnel.

[0006] The purpose of the present application can be achieved by the following technical solution: an operation and maintenance management system suitable for 5G integrated high-power skin base stations, comprising an operation and maintenance management center of skin base stations, a spatial region labeling unit, an operation and maintenance matching unit, a fault work order division unit, a work order management unit, and an operation and maintenance response unit.

[0007] The operation and maintenance management center of the skin base station is used to call historical fault data, and send the historical fault data to a spatial region marking unit for spatial construction and region division analysis, to obtain an emergency maintenance early warning area, a concern early warning area and a potential early warning area by discriminating the obtained risk density.

[0008] The operation and maintenance matching unit is used to perform state tracking supervision evaluation analysis on the collected multi-dimensional evaluation data of each skin base station, to obtain an emergency signal or a concern signal or a potential signal.

[0009] When an emergency signal is generated, the fault work order division unit is used to perform task planning and dispatch priority sorting analysis on the collected maintenance work orders of the skin base stations to be operated and maintained, to draw the maintenance work orders corresponding to the sorted processing priority indexes in a chart, and set the maintenance work orders as a maintenance work order distribution table, and the work order management unit is used to perform region work order planning feedback analysis on the collected operation and maintenance efficiency data of the operation and maintenance personnel, to obtain a normal operation and maintenance personnel and a pressure operation and maintenance personnel by discriminating the obtained task saturation B.

[0010] Preferably, the spatial construction and region division analysis process is as follows:

[0011] The historical fault data of the skin base station is traced back, and the average three-dimensional coordinates 30 days before the fault occurs are extracted as training samples, and the historical fault data includes fault time and hardware fault;

[0012] A three-dimensional state space is established, wherein the X-axis represents a life cycle index, the life cycle index ∈ [1, 4], the Y-axis represents an environmental risk index, the environmental risk index ∈ [0, 100], and the environmental risk index represents the sum value of the multiplication of each parameter in the environmental information of the target skin base station and the corresponding preset allocation weight factor, and the Z-axis represents a load intensity index, the load intensity index ∈ [1, 5].

[0013] Preferably, the DBSCAN density clustering algorithm is used to cluster the training samples to obtain the risk density of each cluster, and the risk density is discriminated: if the risk density is greater than the maximum value in the preset risk density range, the corresponding cluster is set as a high-density cluster, and the area corresponding to the high-density cluster is set as an emergency maintenance early warning area; if the risk density belongs to the preset risk density range, the corresponding cluster is set as a medium-density cluster, and the area corresponding to the medium-density cluster is set as a concern early warning area; and if the risk density is less than the minimum value in the preset risk density range, the corresponding cluster is set as a low-density cluster, and the area corresponding to the low-density cluster is set as a potential early warning area.

[0014] Preferably, the state tracking supervision evaluation analysis process is as follows:

[0015] The running period of each skin base station in the target area is collected and set as a time threshold, and multi-dimensional evaluation data of each skin base station within the time threshold is obtained, including device basic information, environmental information, and running load information.

[0016] Based on the pre-processed multi-dimensional evaluation data, the life cycle index, environmental risk index, and load intensity index of each skin base station are obtained, and based on the corresponding X, Y, Z axis coordinate values of the life cycle index, environmental risk index, and load intensity index of each skin base station, the cluster to which each skin base station belongs within the time threshold is obtained. If the cluster to which the target skin base station belongs is a high-density cluster, an emergency signal is generated, if the cluster to which the target skin base station belongs is a medium-density cluster, an attention signal is generated, and if the cluster to which the target skin base station belongs is a low-density cluster, a potential signal is generated.

[0017] Preferably, the task planning and dispatching priority analysis process is as follows:

[0018] The skin base station corresponding to the emergency signal is set as a to-be-operated skin base station, and a maintenance work order of the to-be-operated skin base station within the time threshold is obtained.

[0019] Based on the maintenance work order, the outage influence coefficient and the skin base station importance of the to-be-operated skin base station are obtained, the product value between the data normalized values of the outage influence coefficient and the skin base station importance is obtained, the product value between the data normalized values of the outage influence coefficient and the skin base station importance is set as the processing priority index, the processing priority index is sorted in descending order, and the sorted processing priority index is obtained. The maintenance work order corresponding to the sorted processing priority index is plotted in a chart, and is set as a maintenance work order distribution table.

[0020] Preferably, the outage influence coefficient represents the sum of the coverage area decay rate, the peak flow loss, and the product of the number of affected users and the corresponding preset proportion factor, and the skin base station importance represents the product value between the data normalized values of the maximum number of simultaneous online users and the actual number of connections of the to-be-operated skin base station.

[0021] Preferably, the regional work order planning feedback analysis process is as follows: the processing priority index corresponding to each to-be-processed work order of each maintenance personnel in the target area within the time threshold is obtained, the to-be-processed work order corresponding to the maximum value in the preset processing priority index range is set as an emergency work order, the to-be-processed work order corresponding to the processing priority index within the preset processing priority index range is set as an important work order, the to-be-processed work order corresponding to the minimum value in the preset processing priority index range is set as a general work order, and the emergency work order, the important work order, and the general work order are collectively referred to as work order priority GD, GD = 2, 1.5, 1.

[0022] Preferably, the to-be-processed work order is set as i, i=1, 2, 3, …, n, and the estimated processing time Y, the remaining processing time limit S, the personnel efficiency coefficient R and the daily specified working time G of each to-be-processed work order are obtained, and the task saturation B is obtained based on the formula The task saturation B is discriminated to obtain normal maintenance personnel and pressure maintenance personnel.

[0023] The remaining processing time limit represents the ratio between the remaining time length of the work order from the deadline and the total time length of the work order.

[0024] The personnel efficiency coefficient represents the ratio between the work order specified standard time length and the historical average single work order processing time of the maintenance personnel.

[0025] The beneficial effects of the present application are as follows:

[0026] (1) The present application preliminarily starts from the establishment of three-dimensional space, and combines the life cycle-environment-load of the skin base station to analyze the fault, so as to position and feedback the running state of each skin base station in the target area, intuitively understand the current state of each skin base station from the visual angle, and perform targeted operation and maintenance management on each skin base station according to the information feedback, so as to improve the operation and maintenance management efficiency and operation management timeliness of the target skin base station.

[0027] (2) The present application manages the maintenance work order of the to-be-maintained skin base station through information feedback, so as to reasonably dispatch the maintenance task of the to-be-maintained skin base station, which helps to reduce the influence of the fault of the to-be-maintained skin base station, and further reasonably regulates and controls the maintenance work order of the maintenance personnel in the target area according to the task saturation of the maintenance personnel, which on the one hand improves the maintenance efficiency of the to-be-maintained skin base station, and on the other hand reduces the work pressure of the maintenance personnel. BRIEF DESCRIPTION OF DRAWINGS

[0028] The present application will be further described below with reference to the accompanying drawings;

[0029] Fig. 1 is a system flowchart of the present application;

[0030] Fig. 2 is a local analysis reference diagram of the present application. DETAILED DESCRIPTION

[0031] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0032] Reference to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are they necessarily all referring to a common set of embodiments, of the application, manifestly and explicitly, those skilled in the art will recognize that embodiments described herein can be combined with other embodiments in various ways;

[0033] Embodiment one:

[0034] Referring to Figs. 1-2 The application is a 5G integrated high-power skin base station operation and maintenance management system, which comprises a skin base station operation and maintenance management center, a space region marking unit, an operation and maintenance matching unit, a fault work order division unit, a work order management unit, and an operation and maintenance response unit. The skin base station operation and maintenance management center is in bidirectional communication connection with the space region marking unit, the skin base station operation and maintenance management center is in unidirectional communication connection with the operation and maintenance matching unit, the operation and maintenance matching unit is in bidirectional communication connection with the fault work order division unit, the operation and maintenance matching unit is in unidirectional communication connection with the work order management unit, and the work order management unit is in unidirectional communication connection with the operation and maintenance response unit.

[0035] The skin base station operation and maintenance management center is used to retrieve historical fault data and send the historical fault data to the space region marking unit for space construction and region division analysis, so as to divide the skin base station from the perspective of historical faults, and to provide data support for subsequent state division of the target skin base station. The specific space construction and region division analysis process is as follows:

[0036] The historical fault data of the skin base station is traced back, and the average three-dimensional coordinates 30 days before the fault occurs are extracted as training samples. The historical fault data includes fault time, hardware failure (such as radio frequency module failure, power supply damage), etc.

[0037] A three-dimensional state space is established, wherein the X-axis represents the life cycle index, the life cycle index ∈ [1, 4], the Y-axis represents the environmental risk index, the environmental risk index ∈ [0, 100], and the environmental risk index represents the sum value of the multiplication of each parameter in the environmental information of the target skin base station and the corresponding preset allocation weight factor, and the Z-axis represents the load intensity index, the load intensity index ∈ [1, 5];

[0038] The DBSCAN density clustering algorithm is used to cluster the training samples to obtain the risk density of each cluster, and the risk density is discriminated: if the risk density is greater than the maximum value in the preset risk density range, the corresponding cluster is set as a high-density cluster, and the area corresponding to the high-density cluster is set as an emergency maintenance warning area; if the risk density belongs to the preset risk density range, the corresponding cluster is set as a medium-density cluster, and the area corresponding to the medium-density cluster is set as a concern warning area; if the risk density is less than the minimum value in the preset risk density range, the corresponding cluster is set as a low-density cluster, and the area corresponding to the low-density cluster is set as a potential warning area;

[0039] The operation and maintenance response unit is used to respond to the emergency maintenance warning area, the concern warning area and the potential warning area, and immediately mark the emergency maintenance warning area as red, the concern warning area as yellow, and the potential warning area as green in the three-dimensional state space;

[0040] It should be noted that the clustering model is updated according to new fault data every quarter;

[0041] The operation and maintenance matching unit is used to perform state tracking supervision evaluation analysis on the collected multi-dimensional evaluation data of each skin base station, and intuitively understand the current state of each skin base station from a visual angle, so as to perform targeted operation and maintenance management on each skin base station according to the information feedback, so as to improve the operation and maintenance management efficiency and operation management timeliness of the target skin base station. The specific state tracking supervision evaluation analysis process is as follows:

[0042] The running period of each skin base station in the target area is collected and set as a time threshold;

[0043] The multi-dimensional evaluation data of each skin base station within the time threshold is obtained, including device basic information, environment information, running load information, etc.

[0044] The device basic information includes factory hardware version number, factory date, etc.; the environment information includes the environmental temperature and salt mist concentration in each skin base station; the running load information includes the user access number and load rate of each skin base station; the multi-dimensional evaluation data is preprocessed, including cleaning, filtering, etc.

[0045] The life cycle index, environmental risk index and load intensity index of each skin base station are obtained based on the preprocessed multi-dimensional evaluation data;

[0046] For example: when the life cycle index = 1, it represents the initial running-in stage (0-0.5 years), when the life cycle index = 2, it represents the stable running stage (0.5-2 years), when the life cycle index = 3, it represents the performance degradation stage (2-4 years), and when the life cycle index = 4, it represents the serious aging stage (> 4 years);

[0047] Load intensity index = 1, indicating that the load rate is less than or equal to 50%, load intensity index = 2, indicating that 50% < load rate < 80%, load intensity index = 3, indicating that 80% < load rate < 95%, load intensity index = 4, indicating that > 95%, additional conditions: if the daily burst flow (> 120% of the design capacity) is ≥ 3 times, the Z value + 1 (up to 5);

[0048] Based on the life cycle index, environmental risk index and load intensity index of each skin base station corresponding to the X, Y and Z axis coordinate values, the cluster to which each skin base station belongs within the time threshold is obtained. If the cluster to which the target skin base station belongs is a high-density cluster, an emergency signal is generated. If the cluster to which the target skin base station belongs is a medium-density cluster, an attention signal is generated. If the cluster to which the target skin base station belongs is a low-density cluster, a potential signal is generated.

[0049] The operation and maintenance response unit is used to respond to the emergency signal or the attention signal or the potential signal, and immediately display the preset warning text corresponding to the emergency signal or the attention signal or the potential signal, so as to perform targeted operation and maintenance management on each skin base station according to the information feedback, thereby improving the operation and maintenance efficiency and operation management timeliness of each skin base station.

[0050] Embodiment two:

[0051] When the emergency signal is generated, the fault work order division unit is used to perform task planning and dispatch priority analysis on the maintenance work order of the collected skin base station to be operated and maintained, so as to reasonably dispatch the operation and maintenance task of the skin base station to be operated and maintained, which helps to reduce the fault influence of the skin base station to be operated and maintained. The specific task planning and dispatch priority analysis process is as follows:

[0052] The skin base station corresponding to the emergency signal is set as the skin base station to be operated and maintained, and the maintenance work order of the skin base station to be operated and maintained within the time threshold is obtained, which includes coordinate position, fault hardware, etc.

[0053] Based on the maintenance work order, the station outage influence coefficient and the skin base station importance of the skin base station to be operated and maintained are obtained, the product value between the data normalized values of the station outage influence coefficient and the skin base station importance is obtained, and the product value between the data normalized values of the station outage influence coefficient and the skin base station importance is set as the processing priority index. The processing priority index is sorted in descending order to obtain the sorted processing priority index. The maintenance work order corresponding to the sorted processing priority index is plotted in a chart, and is set as a maintenance work order distribution table. The operation and maintenance response unit is used to respond to the maintenance work order distribution table, and immediately display the maintenance work order distribution table, so as to reasonably dispatch the operation and maintenance task of the skin base station to be operated and maintained based on the maintenance work order distribution table, thereby improving the operation and maintenance efficiency of the skin base station to be operated and maintained, and reducing the fault influence of the skin base station to be operated and maintained;

[0054] The outage influence coefficient represents the sum of the coverage area attenuation rate, the peak flow loss, and the product of the number of affected users and the corresponding preset proportion factor. The importance of the skin base station represents the product of the maximum number of simultaneous online users of the skin base station to be maintained and the normalized value between the actual connection number and the peak value of the data.

[0055] When the emergency signal is generated, the work order management unit is used for regional work order planning feedback analysis on the collected maintenance efficiency data of the maintenance personnel, so as to reasonably regulate and control the maintenance work order of the maintenance personnel in the target area according to the task saturation degree of the maintenance personnel. On the one hand, the maintenance efficiency of the skin base station to be maintained is improved, and on the other hand, the work pressure of the maintenance personnel is reduced. The specific regional work order planning feedback analysis process is as follows:

[0056] The processing priority index corresponding to each to-be-processed work order of each maintenance personnel in the target area within the time threshold is obtained. The to-be-processed work order corresponding to the maximum value in the preset processing priority index range is set as an emergency work order. The to-be-processed work order whose processing priority index belongs to the preset processing priority index range is set as an important work order. The to-be-processed work order corresponding to the minimum value in the preset processing priority index range is set as a general work order. The emergency work order, the important work order, and the general work order are collectively referred to as work order priority GD, GD = 2, 1.5, 1. For example, the to-be-processed work order is an emergency work order, then GD = 2. The to-be-processed work order is an important work order, then GD = 1.5. The to-be-processed work order is a general work order, then GD = 1.

[0057] The to-be-processed work order is set as i, i = 1, 2, 3, …, n. The estimated processing time Yi, the remaining processing time efficiency Si, the personnel efficiency coefficient R, and the daily specified working time G (8 hours) of each to-be-processed work order are obtained. Based on the formula The task saturation degree B is obtained, and the task saturation degree B is discriminated. If the task saturation degree B is less than the preset task saturation threshold, the corresponding maintenance personnel is determined as a normal maintenance personnel. If the task saturation degree B is greater than or equal to the preset task saturation threshold, the corresponding maintenance personnel is determined as a pressure maintenance personnel.

[0058] The remaining processing time efficiency represents the ratio between the remaining time length of the work order to the cutoff time and the total time length of the work order.

[0059] The personnel efficiency coefficient represents the ratio between the work order specified standard time length and the historical average single work order processing time of the maintenance personnel.

[0060] The operation and maintenance response unit is used for responding to normal operation and maintenance personnel and pressure operation and maintenance personnel, immediately marking the normal operation and maintenance personnel with a preset word "normal", and marking the pressure operation and maintenance personnel with a preset word "pressure", so as to reasonably adjust the to-be-processed work order of the pressure operation and maintenance personnel, for example, preferentially assigning high-priority work orders, so as to reduce the task pressure of the pressure operation and maintenance personnel;

[0061] To sum up, the present application preliminarily starts from the establishment of three-dimensional space, and combines the life cycle-environment-load of the skin base station to analyze the fault, so as to position and feedback the running state of each skin base station in the target area, intuitively understand the current state of each skin base station from a visual angle, and perform targeted operation and maintenance management on each skin base station according to the information feedback, so as to improve the operation and maintenance management efficiency and operation management timeliness of the target skin base station. The maintenance work order of the to-be-operated skin base station is managed through the information feedback mode, so as to reasonably assign the operation and maintenance tasks of the to-be-operated skin base station, which helps to reduce the influence of the to-be-operated skin base station fault, and further reasonably regulates the maintenance work order of the operation and maintenance personnel in the target area according to the task saturation degree of the operation and maintenance personnel, on the one hand, improves the operation and maintenance efficiency of the to-be-operated skin base station, and on the other hand, reduces the work pressure of the operation and maintenance personnel.

[0062] The threshold is set for result comparison and analysis, so as to determine whether it is good or bad. The size of the threshold is determined by combining the large model analysis of sample data and artificial experience to set the input storage, and can be appropriately adjusted by seasonal or rational influence conditions.

[0063] The size of the coefficient is a specific numerical value obtained by quantifying each parameter, which is convenient for subsequent comparison. The size of the coefficient depends on the number of sample data and the corresponding operation coefficient preliminarily set by the person skilled in the art for each group of sample data.

[0064] The above is only a preferred specific embodiment of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can make equivalent replacement or change according to the technical solution and inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. A system for operation and maintenance management suitable for 5G integrated high-power skin base stations, characterized in that, The operation and maintenance management center of the skin base station, a space region marking unit, an operation and maintenance matching unit, a fault work order division unit, a work order management unit, and an operation and maintenance response unit are included. The operation and maintenance management center of the skin base station is configured to call historical fault data and send the historical fault data to the space region marking unit for space construction and region division analysis, and to determine the risk density obtained to obtain an emergency maintenance early warning area, a concern early warning area, and a potential early warning area. The operation and maintenance matching unit is configured to perform state tracking supervision evaluation analysis on the collected multi-dimensional evaluation data of each skin base station to obtain an emergency signal, a concern signal, or a potential signal. When an emergency signal is generated, the fault work order division unit is configured to perform task planning and dispatch priority sorting analysis on the collected maintenance work orders of the skin base stations to be maintained, draw the maintenance work orders corresponding to the sorted processing priority index in a chart, and set the maintenance work orders as a maintenance work order distribution table. The space construction and region division analysis process is as follows: The historical fault data of the skin base station is traced back, and the average three-dimensional coordinates 30 days before the fault occurs are extracted as training samples. The historical fault data includes fault time and hardware fault. A three-dimensional state space is established, wherein the X-axis represents the life cycle index, the life cycle index ∈ [1, 4], the Y-axis represents the environmental risk index, the environmental risk index ∈ [0, 100], and the environmental risk index represents the sum of the product of each parameter in the environmental information of the target skin base station and the corresponding preset allocation weight factor, and the Z-axis represents the load intensity index, the load intensity index ∈ [1, 5]; The DBSCAN density clustering algorithm is used to cluster the training samples to obtain the risk density of each cluster, and the risk density is determined: if the risk density is greater than the maximum value in the preset risk density range, the corresponding cluster is set as a high-density cluster, and the area corresponding to the high-density cluster is set as an emergency maintenance early warning area; if the risk density belongs to the preset risk density range, the corresponding cluster is set as a medium-density cluster, and the area corresponding to the medium-density cluster is set as a concern early warning area; and if the risk density is less than the minimum value in the preset risk density range, the corresponding cluster is set as a low-density cluster, and the area corresponding to the low-density cluster is set as a potential early warning area. The state tracking supervision evaluation analysis process is as follows: The runtime period of each skin base station in the target area is collected and set as a time threshold, and the multi-dimensional evaluation data of each skin base station within the time threshold is obtained, including device basic information, environmental information, and running load information. The life cycle index, the environmental risk index and the load intensity index of each skin base station are obtained based on the preprocessed multi-dimensional evaluation data, and the cluster to which each skin base station belongs within a time threshold is obtained based on the X, Y and Z axis coordinate values corresponding to the life cycle index, the environmental risk index and the load intensity index of each skin base station; if the cluster to which the target skin base station belongs is a high-density cluster, an emergency signal is generated; if the cluster to which the target skin base station belongs is a medium-density cluster, an attention signal is generated; and if the cluster to which the target skin base station belongs is a low-density cluster, a potential signal is generated. The task planning and dispatching priority analysis process is as follows: The skin base station corresponding to the emergency signal is set as a to-be-maintained skin base station, and the maintenance work order of the to-be-maintained skin base station within a time threshold is obtained. The station outage influence coefficient and the skin base station importance of the to-be-maintained skin base station are obtained based on the maintenance work order, the product value between the data normalized values of the station outage influence coefficient and the skin base station importance is obtained, the product value between the data normalized values of the station outage influence coefficient and the skin base station importance is set as a processing priority index, the processing priority index is sorted in descending order, the sorted processing priority index is obtained, the maintenance work order corresponding to the sorted processing priority index is plotted in a chart, and the maintenance work order is set as a maintenance work order distribution table. 2.The operation and maintenance management system suitable for 5G integrated high-power skin base station of claim 1, wherein, The station outage influence coefficient represents the sum of the coverage area decay rate, the peak flow loss, and the product of the number of affected users and the corresponding preset proportion factor, and the skin base station importance represents the product value between the data normalized values of the maximum number of simultaneous online users and the actual number of connections of the to-be-maintained skin base station. 3.The operation and maintenance management system suitable for 5G integrated high-power skin base station of claim 1, wherein, The regional work order planning feedback analysis process is as follows: the processing priority index corresponding to each to-be-processed work order of each maintenance personnel in the target region within a time threshold is obtained, the to-be-processed work order corresponding to the maximum value in the preset processing priority index range is set as an emergency work order, the to-be-processed work order belonging to the preset processing priority index range is set as an important work order, the to-be-processed work order corresponding to the minimum value in the preset processing priority index range is set as a general work order, and the emergency work order, the important work order and the general work order are collectively referred to as a work order priority GD, GD = 2, 1.5, 1.

4. The operation and maintenance management system suitable for 5G integrated high-power skin base station of claim 3, characterized in that, Set the to-be-processed work order as i, i=1, 2, 3, …, n, and obtain the estimated processing time Yi, the remaining processing time Si, the personnel efficiency coefficient R and the daily specified working time G of each to-be-processed work order, based on the formula Obtain the task saturation B, and perform discrimination processing on the task saturation B to obtain normal operation and maintenance personnel and pressure operation and maintenance personnel; The remaining processing time efficiency represents the ratio between the remaining time of the work order to the cutoff time and the total time of the work order. The personnel efficiency coefficient represents the ratio between the work order specified standard time and the historical average single work order processing time of the maintenance personnel.

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