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

Abstract

The invention relates to the technical field of operation and maintenance of a leather station, in particular to an operation and maintenance management system suitable for a 5G integrated high-power leather station, which comprises an operation and maintenance management center of the leather station, a space area 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, according to the invention, from the perspective of three-dimensional space establishment, fault analysis is carried out in combination with life cycle-environment-load of the leather stations, so that the operation state of each leather station in the target area can be positioned and fed back, and the maintenance work order of the to-be-operated and maintained leather station is managed in an information feedback mode. According to the method, reasonable operation and maintenance task distribution is carried out on the to-be-operated and to-be-maintained leather stations, the fault influence of the to-be-operated and to-be-maintained leather stations is reduced, reasonable regulation and control are further carried out on the maintenance work orders of the operation and maintenance personnel in the target area according to the task saturation of the operation and maintenance personnel, on one hand, the operation and maintenance efficiency of the to-be-operated and to-be-maintained leather stations is improved; and on the other hand, the working pressure of operation and maintenance personnel is reduced.

Description

Technical Field

[0001] The present invention relates to the field of pico base station operation and maintenance technology, and in particular to an operation and maintenance management system suitable for 5G integrated high-power pico base stations. Background Art

[0002] With the widespread deployment of 5G communication technology, 5G integrated high-power pico base stations, as key equipment for achieving deep indoor coverage, are crucial for network quality. Traditional operations and maintenance management systems typically use single-dimensional indicator monitoring methods, such as independent monitoring of device performance parameters (such as CPU utilization and power output). This fails to fully reflect device degradation trends in complex operating environments.

[0003] In addition, existing fault prediction technologies have the following deficiencies: They lack collaborative analysis of multi-dimensional factors such as equipment lifecycle, environmental parameters (such as temperature, humidity, and electromagnetic interference), and business load, resulting in low efficiency in identifying faults at pico stations. Furthermore, it is difficult to rationally prioritize work orders based on the impact of pico stations, increasing the impact of pico station failures. Furthermore, it is difficult to rationally adjust work orders based on the task saturation of operations and maintenance personnel, increasing their workload and reducing operational efficiency.

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

[0005] The purpose of the present invention is to provide an operation and maintenance management system suitable for 5G integrated high-power skin stations to solve the technical defects mentioned above. The present invention initially starts from the perspective of establishing three-dimensional space, and combines the life cycle-environment-load of the skin station to perform fault analysis, so as to locate and feedback the operating status of each skin station in the target area, and at the same time intuitively understand the current status of each skin station from a visual perspective, and carry out targeted operation and maintenance management of each skin station based on the information feedback, so as to improve the operation and maintenance management efficiency and timeliness of the target skin station, and manage the maintenance work orders of the skin station to be operated and maintained by means of information feedback, so as to rationally distribute the operation and maintenance tasks to the skin station to be operated and maintained, which helps to reduce the impact of failures of the skin station to be operated and maintained, and further rationally regulate the maintenance work orders of the operation and maintenance personnel in the target area based on the task saturation of the operation and maintenance personnel, on the one hand, improving the operation and maintenance efficiency of the skin station to be operated and maintained, and on the other hand, reducing the work pressure of the operation and maintenance personnel.

[0006] The object of the present invention can be achieved by the following technical solutions: an operation and maintenance management system applicable to a 5G integrated high-power pico base station, comprising an operation and maintenance management center of the pico base station, a spatial area 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;

[0007] The operation and maintenance management center of the Pico station is used to retrieve historical fault data and send it to the spatial area annotation unit for spatial construction and regional division analysis, and to perform discrimination processing on the obtained risk density to obtain emergency maintenance warning areas, attention warning areas, and potential warning areas;

[0008] The operation and maintenance matching unit is used to conduct status tracking, supervision, evaluation and analysis on the multi-dimensional evaluation data collected from each picostation to obtain emergency signals, attention signals or potential signals;

[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 maintenance stations to be operated, draw the maintenance work orders corresponding to the sorted processing priority index in a chart, and set it as the maintenance work order distribution table. The work order management unit is used to perform regional work order planning feedback analysis on the collected operation and maintenance efficiency data of the operation and maintenance personnel, and perform discrimination processing on the obtained task saturation B to obtain normal operation and maintenance personnel and stressed operation and maintenance personnel.

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

[0011] The historical fault data of the Pico station is reviewed, and the average 3D coordinates of the 30 days before the fault are extracted as training samples. The historical fault data includes the fault time and hardware failure.

[0012] A three-dimensional state space is established, where the X-axis represents the life cycle index, which is ∈ [1, 4]; the Y-axis represents the environmental risk index, which is ∈ [0, 100]; the environmental risk index represents the sum of the parameters in the environmental information of the target picostation multiplied by the corresponding preset weight factors; and the Z-axis represents the load intensity index, which is ∈ [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 the 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 the attention 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 the potential warning area.

[0014] Preferably, the status tracking, supervision, assessment and analysis process is as follows:

[0015] The operating time of each pico station in the target area is collected and set as the time threshold. The multi-dimensional evaluation data of each pico station within the time threshold is obtained. The multi-dimensional evaluation data includes basic equipment information, environmental information, and operating 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 pico station are obtained. Based on the X, Y and Z axis coordinate values ​​corresponding to the life cycle index, environmental risk index and load intensity index of each pico station, the cluster to which each pico station belongs within the time threshold is obtained. If the cluster to which the target pico station belongs is a high-density cluster, an emergency signal is generated; if the cluster to which the target pico station belongs is a medium-density cluster, an attention signal is generated; if the cluster to which the target pico 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] Set the Pi station corresponding to the emergency signal as the Pi station to be operated and maintained, and obtain the maintenance work order of the Pi station to be operated and maintained within the time threshold;

[0019] Based on the maintenance work order, the outage impact coefficient and the importance of the Pi station to be operated are obtained, and the product value between the values ​​of the outage impact coefficient and the importance of the Pi station after data normalization is obtained. The product value between the values ​​of the outage impact coefficient and the importance of the Pi station after data normalization is set as the processing priority index, and the processing priority index is sorted in order from large to small to obtain the sorted processing priority index. The maintenance work order corresponding to the sorted processing priority index is plotted in a chart, and it is set as the maintenance work order distribution table.

[0020] Preferably, the site disconnection impact coefficient represents the sum of the coverage area attenuation rate, peak traffic loss, and the number of affected users multiplied by the corresponding preset proportional factor, and the importance of the Pico site represents the product of the maximum number of simultaneous online users of the Pico site to be operated and the peak value of the actual number of connections after data normalization.

[0021] Preferably, the regional work order planning feedback analysis process is as follows: obtain the processing priority index corresponding to each pending work order of each operation and maintenance personnel in the target area within the time threshold, set the pending work order corresponding to a processing priority index greater than the maximum value in the preset processing priority index range as an emergency work order, set the pending work order corresponding to a processing priority index within the preset processing priority index range as an important work order, set the pending work order corresponding to a processing priority index less than the minimum value in the preset processing priority index range as a general work order, and collectively refer to emergency work orders, important work orders and general work orders as work order priorities, work order priority GD, GD=2, 1.5, 1.

[0022] Preferably, the work orders to be processed are set as i, i = 1, 2, 3, ..., n, and the estimated processing time Yi, the remaining processing time Si, the staff efficiency coefficient R and the daily working hours G of each work order to be processed are obtained at the same time. Based on the formula Obtain task saturation B, and perform discrimination processing on task saturation B to obtain normal operation and maintenance personnel and stress operation and maintenance personnel;

[0023] The remaining processing time indicates the ratio of the remaining time until the deadline to the total processing time of the work order.

[0024] The personnel efficiency coefficient represents the ratio between the standard duration of a work order and the historical average processing time of a single work order by the operation and maintenance personnel.

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

[0026] (1) The present invention initially starts from the perspective of establishing a three-dimensional space, and combines the life cycle, environment, and load of the pico station to perform fault analysis, so as to provide positioning feedback on the operating status of each pico station in the target area. At the same time, the current status of each pico station can be intuitively understood from a visual perspective, and targeted operation and maintenance management of each pico station can be carried out based on the information feedback, so as to improve the operation and maintenance management efficiency and timeliness of the target pico station;

[0027] (2) The present invention manages the maintenance work orders of the maintenance stations to be operated and maintained by means of information feedback, so as to rationally distribute the maintenance tasks to the maintenance stations to be operated and maintained, which helps to reduce the impact of failures of the maintenance stations to be operated and maintained. At the same time, the maintenance work orders of the maintenance personnel in the target area are rationally regulated according to the task saturation of the maintenance personnel. On the one hand, the maintenance efficiency of the maintenance stations to be operated and maintained is improved, and on the other hand, the work pressure of the maintenance personnel is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

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

[0029] Figure 1 It is a flow chart of the system of the present invention;

[0030] Figure 2 It is a reference diagram for local analysis of the present invention. DETAILED DESCRIPTION

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0032] References to "embodiments" herein mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments;

[0033] Example 1:

[0034] See also Figures 1 to 2 As shown, the present invention is an operation and maintenance management system suitable for 5G integrated high-power pico base stations, including an operation and maintenance management center of the pico base station, a spatial area 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. The operation and maintenance management center of the pico base station is bidirectionally connected to the spatial area labeling unit, the operation and maintenance management center of the pico base station is unidirectionally connected to the operation and maintenance matching unit, the operation and maintenance matching unit is bidirectionally connected to the fault work order division unit, the operation and maintenance matching unit is unidirectionally connected to the work order management unit, and the work order management unit is unidirectionally connected to the operation and maintenance response unit;

[0035] The operation and maintenance management center of the Pico station is used to retrieve historical fault data and send it to the spatial region annotation unit for space construction and regional division analysis, so as to divide the status of the Pico station from the perspective of historical faults, thereby providing data support for the status division of subsequent target Pico stations. The specific space construction and regional division analysis process is as follows:

[0036] Backtrack the historical fault data of the Pico station and extract the average 3D coordinates of the 30 days before the fault as training samples. The historical fault data includes fault time, hardware failure (such as RF module failure and power supply damage), etc.

[0037] Establish a three-dimensional state space, where the X-axis represents the life cycle index, which is ∈ [1, 4]; the Y-axis represents the environmental risk index, which is ∈ [0, 100]; the environmental risk index represents the sum of the parameters in the environmental information of the target picostation multiplied by the corresponding preset weight factors; and the Z-axis represents the load intensity index, which is ∈ [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 the emergency maintenance warning area; if the risk density falls within 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 the attention 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 the potential warning area;

[0039] The operation and maintenance response unit is used to respond to the emergency maintenance warning area, the attention warning area and the potential warning area, and immediately mark the emergency maintenance warning area as red, the attention 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 every quarter based on new failure data;

[0041] The operation and maintenance matching unit is used to conduct status tracking, supervision, evaluation and analysis on the multi-dimensional evaluation data collected from each pico station. It can intuitively understand the current status of each pico station from a visual perspective, so as to carry out targeted operation and maintenance management of each pico station based on the information feedback, so as to improve the operation and maintenance management efficiency and timeliness of the target pico station. The specific status tracking, supervision, evaluation and analysis process is as follows:

[0042] Collect the operating time of each picostation in the target area and set it as the time threshold;

[0043] Obtain multi-dimensional evaluation data of each picostation within the time threshold, including basic equipment information, environmental information, operating load information, etc.

[0044] Basic equipment information includes factory hardware version number and production date; environmental information includes ambient temperature and salt spray concentration at each pico station; operating load information includes the number of users connected to each pico station and load rate; pre-processing of multi-dimensional evaluation data includes cleaning and filtering;

[0045] Based on the pre-processed multi-dimensional evaluation data, the life cycle index, environmental risk index and load intensity index of each station are obtained;

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

[0047] A load intensity index of 1 indicates a load rate ≤ 50%, a load intensity index of 2 indicates a load rate of 50% < ≤ 80%, a load intensity index of 3 indicates a load rate of 80% < ≤ 95%, and a load intensity index of 4 indicates a load rate of > 95%. Additionally, if daily burst traffic (> 120% of the design capacity) occurs ≥ 3 times, the Z value is increased by 1 (up to a maximum of 5).

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

[0049] The operation and maintenance response unit is used to respond to emergency signals, attention signals or potential signals, and immediately display the preset warning text corresponding to the emergency signals, attention signals or potential signals, so as to carry out targeted operation and maintenance management of each Pico station based on the information feedback, so as to improve the operation and maintenance management efficiency and timeliness of operation management of each Pico station.

[0050] Example 2:

[0051] When an emergency signal is generated, the fault work order division unit is used to perform task planning and dispatch priority analysis on the collected maintenance work orders of the waiting-for-operation stations, so as to rationally dispatch maintenance tasks to the waiting-for-operation stations, which helps to reduce the impact of the failure of the waiting-for-operation stations. The specific task planning and dispatch priority analysis process is as follows:

[0052] Set the Pico station corresponding to the emergency signal as the Pico station to be operated and maintained, and obtain the maintenance work order of the Pico station to be operated and maintained within the time threshold. The maintenance work order includes the coordinate location, faulty hardware, etc.

[0053] Based on the maintenance work order, the outage impact coefficient and importance of the Pi station to be operated and maintained are obtained, the product value between the values ​​of the outage impact coefficient and the importance of the Pi station after data normalization is obtained, and the product value between the values ​​of the outage impact coefficient and the importance of the Pi station after data normalization is set as the processing priority index, the processing priority index is sorted in order from large to small to obtain the sorted processing priority index, the maintenance work order corresponding to the sorted processing priority index is plotted in a chart, and it is set as the maintenance work order allocation list, the operation and maintenance response unit is used to respond to the maintenance work order allocation list, and immediately display the maintenance work order allocation list, so as to reasonably dispatch operation and maintenance tasks to the Pi station to be operated and maintained based on the maintenance work order allocation list, so as to improve the operation and maintenance management efficiency of the Pi station to be operated and maintained, and reduce the impact of failures of the Pi station to be operated and maintained;

[0054] The impact coefficient of a site outage represents the sum of the coverage area attenuation rate, peak traffic loss, and the number of affected users multiplied by the corresponding preset proportional factor. The importance of a pico site represents the product of the maximum number of concurrent online users of the pico site to be maintained and the peak value of the actual number of connections after data normalization.

[0055] When an emergency signal is generated, the work order management unit is used to conduct regional work order planning feedback analysis on the collected operation and maintenance efficiency data of the operation and maintenance personnel, so as to rationally regulate the maintenance work orders 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, it improves the operation and maintenance efficiency of the maintenance station to be operated and maintained, and on the other hand, it reduces the work pressure of the operation and maintenance personnel. The specific regional work order planning feedback analysis process is as follows:

[0056] Obtain the processing priority index corresponding to each pending work order of each operation and maintenance personnel in the target area within the time threshold, set the pending work order whose processing priority index is greater than the maximum value in the preset processing priority index range as an urgent work order, set the pending work order whose processing priority index is within the preset processing priority index range as an important work order, and set the pending work order whose processing priority index is less than the minimum value in the preset processing priority index range as a general work order. Emergency work orders, important work orders, and general work orders are collectively referred to as work order priorities, and the work order priority is GD, GD=2, 1.5, 1. For example, if the pending work order is an urgent work order, then GD=2, if the pending work order is an important work order, then GD=1.5, and if the pending work order is a general work order, then GD=1;

[0057] Set the pending work order as i, i = 1, 2, 3, ..., n, and obtain the estimated processing time Yi, remaining processing time Si, personnel efficiency coefficient R and daily working hours G (8 hours) of each pending work order. Based on the formula Obtain task saturation B and perform discrimination processing on task saturation B. If task saturation B is less than a preset task saturation threshold, the corresponding operation and maintenance personnel are judged to be normal operation and maintenance personnel. If task saturation B is greater than or equal to the preset task saturation threshold, the corresponding operation and maintenance personnel are judged to be stressed operation and maintenance personnel.

[0058] The remaining processing time indicates the ratio of the remaining time until the deadline to the total processing time of the work order.

[0059] The personnel efficiency coefficient represents the ratio between the standard processing time of a work order and the historical average processing time of a single work order by the operation and maintenance personnel;

[0060] The operation and maintenance response unit is used to respond to normal operation and maintenance personnel and stressed operation and maintenance personnel. It immediately marks normal operation and maintenance personnel with the preset text "normal" and stressed operation and maintenance personnel with the preset text "stressed" so as to rationalize the pending work orders of stressed operation and maintenance personnel. For example, high-priority work orders may be assigned first to reduce the task pressure of stressed operation and maintenance personnel.

[0061] To sum up, the present invention initially starts from the perspective of establishing three-dimensional space, and combines the life cycle-environment-load of the Pico station to perform fault analysis, so as to locate and feedback the operating status of each Pico station in the target area, and at the same time intuitively understand the current status of each Pico station from a visual perspective, and carry out targeted operation and maintenance management of each Pico station based on the information feedback, so as to improve the operation and maintenance management efficiency and timeliness of operation management of the target Pico station, and manage the maintenance work orders of the Pico station to be operated and maintained by means of information feedback, so as to rationally distribute the operation and maintenance tasks to the Pico station to be operated and maintained, which helps to reduce the impact of faults on the Pico station to be operated and maintained, and further rationally regulate the maintenance work orders of the operation and maintenance personnel in the target area based on the task saturation of the operation and maintenance personnel, on the one hand, improving the operation and maintenance efficiency of the Pico station to be operated and maintained, and on the other hand, reducing the work pressure of the operation and maintenance personnel.

[0062] The threshold is set for result comparison and analysis in order to determine whether it is good or bad. The value of the threshold is set based on a combination of large-scale model analysis of sample data and manual experience to enter and store it. It can also be appropriately adjusted based on seasonal or common sense influencing conditions.

[0063] The size of the coefficient is to quantify each parameter to obtain a specific numerical value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding operating coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0064] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. Applicable to the operation and maintenance management system of 5G integrated high-power pico base station, characterized by: It includes the operation and maintenance management center of the Pico Station, the spatial area labeling unit, the operation and maintenance matching unit, the fault work order classification unit, the work order management unit, and the operation and maintenance response unit; The operation and maintenance management center of the Pico station is used to retrieve historical fault data and send it to the spatial area annotation unit for spatial construction and regional division analysis, and to perform discrimination processing on the obtained risk density to obtain emergency maintenance warning areas, attention warning areas, and potential warning areas; The operation and maintenance matching unit is used to conduct status tracking, supervision, evaluation and analysis on the multi-dimensional evaluation data collected from each picostation to obtain emergency signals, attention signals or potential signals; 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 maintenance stations to be operated, draw the maintenance work orders corresponding to the sorted processing priority index in a chart, and set it as the maintenance work order distribution table. The work order management unit is used to perform regional work order planning feedback analysis on the collected operation and maintenance efficiency data of the operation and maintenance personnel, and perform discrimination processing on the obtained task saturation B to obtain normal operation and maintenance personnel and stressed operation and maintenance personnel.

2. The operation and maintenance management system for 5G integrated high-power pico base stations according to claim 1 is characterized in that: The spatial construction and regional division analysis process is as follows: The historical fault data of the Pico station is reviewed, and the average 3D coordinates of the 30 days before the fault are extracted as training samples. The historical fault data includes the fault time and hardware failure. A three-dimensional state space is established, where the X-axis represents the life cycle index, which is ∈ [1, 4]; the Y-axis represents the environmental risk index, which is ∈ [0, 100]; the environmental risk index represents the sum of the parameters in the environmental information of the target picostation multiplied by the corresponding preset weight factors; and the Z-axis represents the load intensity index, which is ∈ [1, 5].

3. The operation and maintenance management system for 5G integrated high-power pico base stations according to claim 2, characterized in that: 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 the emergency maintenance warning area; if the risk density falls within 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 the attention 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 the potential warning area.

4. The operation and maintenance management system for 5G integrated high-power pico base stations according to claim 3, characterized in that: The status tracking, supervision, assessment and analysis process is as follows: The operating time of each pico station in the target area is collected and set as the time threshold. The multi-dimensional evaluation data of each pico station within the time threshold is obtained. The multi-dimensional evaluation data includes basic equipment information, environmental information, and operating load information; Based on the pre-processed multi-dimensional evaluation data, the life cycle index, environmental risk index and load intensity index of each pico station are obtained. Based on the X, Y and Z axis coordinate values ​​corresponding to the life cycle index, environmental risk index and load intensity index of each pico station, the cluster to which each pico station belongs within the time threshold is obtained. If the cluster to which the target pico station belongs is a high-density cluster, an emergency signal is generated; if the cluster to which the target pico station belongs is a medium-density cluster, an attention signal is generated; if the cluster to which the target pico station belongs is a low-density cluster, a potential signal is generated.

5. The operation and maintenance management system for 5G integrated high-power pico base station according to claim 1, characterized in that: The task planning and dispatch priority analysis process is as follows: Set the Pi station corresponding to the emergency signal as the Pi station to be operated and maintained, and obtain the maintenance work order of the Pi station to be operated and maintained within the time threshold; Based on the maintenance work order, the outage impact coefficient and the importance of the Pi station to be operated are obtained, and the product value between the values ​​of the outage impact coefficient and the importance of the Pi station after data normalization is obtained. The product value between the values ​​of the outage impact coefficient and the importance of the Pi station after data normalization is set as the processing priority index, and the processing priority index is sorted in order from large to small to obtain the sorted processing priority index. The maintenance work order corresponding to the sorted processing priority index is plotted in a chart, and it is set as the maintenance work order distribution table.

6. The operation and maintenance management system for 5G integrated high-power pico base stations according to claim 5, characterized in that: The impact coefficient of site disconnection represents the sum of the coverage area attenuation rate, peak traffic loss, and the number of affected users multiplied by the corresponding preset proportional factor. The importance of the Pico site represents the product of the maximum number of concurrent online users of the Pico site to be operated and maintained and the peak value of the actual number of connections after data normalization.

7. The operation and maintenance management system for 5G integrated high-power pico base station according to claim 1, characterized in that: The regional work order planning feedback analysis process is as follows: obtain the processing priority index corresponding to each pending work order of each operation and maintenance personnel in the target area within the time threshold, set the pending work order corresponding to the processing priority index greater than the maximum value in the preset processing priority index range as an emergency work order, set the pending work order whose processing priority index belongs to the preset processing priority index range as an important work order, and set the pending work order corresponding to the processing priority index less than the minimum value in the preset processing priority index range as a general work order. Emergency work orders, important work orders and general work orders are collectively referred to as work order priorities, and the work order priority is GD, GD=2, 1.5, 1.

8. The operation and maintenance management system for 5G integrated high-power pico base stations according to claim 7, characterized in that: Set the pending work order as i, i = 1, 2, 3, ..., n, and obtain the estimated processing time Yi, remaining processing time Si, personnel efficiency coefficient R and daily working hours G of each pending work order. Based on the formula Obtain task saturation B, and perform discrimination processing on task saturation B to obtain normal operation and maintenance personnel and stress operation and maintenance personnel; The remaining processing time indicates the ratio of the remaining time until the deadline to the total processing time of the work order. The personnel efficiency coefficient represents the ratio between the standard duration of a work order and the historical average processing time of a single work order by the operation and maintenance personnel.

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