WO2013071755A1

WO2013071755A1 - Method and apparatus for implementing base station device self-healing

Info

Publication number: WO2013071755A1
Application number: PCT/CN2012/077555
Authority: WO
Inventors: 谢敏
Original assignee: 中兴通讯股份有限公司
Priority date: 2011-11-17
Filing date: 2012-06-26
Publication date: 2013-05-23
Also published as: CN103118359A

Abstract

The present invention provides a method and apparatus for implementing base station device self-healing, which belong to the field of communications. The method for implementing base station device self-healing comprises: an apparatus for implementing base station device self-healing establishing a self-healing task, and placing the self-healing task in a task list; the apparatus for implementing base station device self-healing performing a corresponding self-healing operation based on the self-healing task in the task list. The technical solutions of the present invention can automatically process base station faults and reduce the complexity of manual operation in the fault processing process, and can find and process faults in time.

Description

TECHNICAL FIELD The present invention relates to the field of communications, and in particular to a method and an apparatus for implementing self-healing of a base station device. BACKGROUND In a mobile communication system, a network hierarchy is generally classified into a network management system (Network Management).

System, referred to as NMS, Element Management System (EMS) and Network Element (E). When the NE is faulty or the performance is degraded, the fault is reported to the EMS through the southbound interface. The network administrator must pay attention to these events and make correct faults to restore the faults. Certain faults and performance events must also have a certain professional basis, and have a certain degree of understanding of the system itself, and even rely on professional engineers. In the existing base station equipment operation, in the case of a base station failure or performance degradation, a large number of manual operations are required, the manual complexity in the fault handling process is high, the base station maintenance efficiency is relatively low, and the system may not be discovered and processed in time. malfunction. SUMMARY OF THE INVENTION The technical problem to be solved by the present invention is to provide a method and a device for implementing self-healing of a base station device, which can automatically process a base station fault, reduce the manual complexity of the fault processing process, and can detect and process the fault in time. To solve the above technical problem, the embodiments of the present invention provide the following technical solutions: On the one hand, a method for implementing self-healing of a base station device is provided, including: a self-healing task of a base station device self-healing device, and the self-healing The task is put into the task queue; the self-healing device of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue. Before the device for self-healing of the self-healing device of the base station device further comprises: the device for self-healing of the base station device sets a self-healing condition, and the self-healing condition includes a self-healing parameter value, a switch state and an effective range. The device for self-healing of the self-healing device of the base station device includes: the device for self-healing of the base station device receives the self-healing trigger event, the self-healing trigger event includes an alarm and a performance indicator; and the device for determining the self-healing of the base station device determines Whether the self-healing trigger event satisfies the self-healing condition, and if so, a self-healing task corresponding to the self-healing trigger event is established. The self-healing parameter value includes a delay processing time, and the self-healing implementation device of the base station device determines whether the self-healing trigger event satisfies the self-healing condition, and if yes, establishes a self-healing trigger event The task of the self-healing device of the base station device determines whether the time difference between the current time and the time when the self-healing trigger event occurs is not less than the delay processing time, and if so, the self-healing trigger at the current time If the event still exists, the base station device self-healing implementation device establishes a self-healing task corresponding to the self-healing trigger event. After the self-healing operation of the self-healing task in the task queue, the device for self-healing of the base station device further includes: the implementing device for self-healing of the base station device, the self-healing task from the task queue Remove. Performing, by the self-healing operation of the self-healing task in the task queue, the self-healing operation of the self-healing task of the base station device includes: performing, by the self-healing operation of the self-healing task, the self-healing operation corresponding to the self-healing task, and The monitoring message is reported to the user interface when the self-healing operation is performed and/or after the self-healing operation is performed, the monitoring message including the result of the self-healing operation. The embodiment of the present invention further provides an apparatus for implementing self-healing of a base station device, including: a task establishment module, configured to establish a self-healing task, and put the self-healing task into a task queue; the processing module is set to be The self-healing task in the task queue performs the corresponding self-healing operation. The apparatus for implementing self-healing of the base station device further includes: a setting module, configured to set a self-healing condition, wherein the self-healing condition includes a self-healing parameter value, a switch state, and an effective range. The task establishment module includes: The monitoring sub-module is configured to receive a self-healing trigger event, where the self-healing trigger event includes an alarm and a performance indicator; and the determining submodule is configured to determine whether the self-healing trigger event satisfies the self-healing condition, and if yes, establish Corresponding to the self-healing task of the self-healing trigger event. The self-healing parameter value includes a delay processing time, and the determining sub-module is specifically configured to determine whether a time difference between a current time and a time at which the self-healing trigger event occurs is not less than the delay processing time, and if so, and At the current moment, the self-healing trigger event still exists, and a self-healing task corresponding to the self-healing trigger event is established. The processing module is further configured to remove the self-healing task from the task queue after performing a corresponding self-healing operation on the self-healing task in the task queue. The processing module includes: a processing sub-module configured to perform a self-healing operation corresponding to the self-healing task; and a reporting sub-module configured to report the monitoring message to the user interface after performing the self-healing operation and/or performing the self-healing operation The monitoring message includes the result of the self-healing operation. The embodiments of the present invention have the following beneficial effects: In the foregoing solution, the self-healing task of the base station device self-healing device establishes a self-healing task, and puts the self-healing task into the task queue, and then performs corresponding self-healing tasks in the task queue. The operation of the present invention can automatically handle faults and optimize performance in the case of base station failure or performance degradation; can find faults in time, and timely handle faults; reduce manual complexity of fault handling process, reduce manual recovery and manual intervention The number of times reduces the maintenance cost of the base station equipment. 1 is a schematic flowchart of a method for implementing self-healing of a base station device according to an embodiment of the present invention; FIG. 2 is a structural block diagram of an apparatus for implementing self-healing of a base station device according to an embodiment of the present invention; FIG. 4 is a schematic flowchart of another embodiment of a self-healing operation of a base station device according to an embodiment of the present invention; FIG. 5 is a schematic flowchart of a self-healing operation performed in a controlled mode according to an embodiment of the present invention; . DETAILED DESCRIPTION OF THE EMBODIMENTS The technical problems, the technical solutions, and the advantages of the embodiments of the present invention will be more clearly described in the following description. The embodiments of the present invention are directed to the prior art in the case of a base station failure or performance degradation, requiring a large number of manual operations, high manual complexity in the fault handling process, low efficiency of base station maintenance, and may not be discovered in time. To solve the problem of the fault, a method and a device for implementing self-healing of the base station device are provided, which can automatically handle the fault of the base station, reduce the manual complexity of the fault processing process, and can detect and process the fault in time. FIG. 1 is a schematic flowchart of a method for implementing self-healing of a base station device according to an embodiment of the present invention. As shown in FIG. 1 , this embodiment includes: Step 101: A device for self-healing of a base station device establishes a self-healing task, and the self-healing task is performed. Putting in the task queue; Step 102: The base station device self-healing implementation device performs a corresponding self-healing operation on the self-healing task in the task queue. In the embodiment of the present invention, the device for self-healing of the base station device establishes a self-healing task, and puts the self-healing task into the task queue, and then performs a corresponding self-healing operation on the self-healing task in the task queue, and the technical solution of the present invention It can automatically handle faults and optimize performance in the case of base station failure or performance degradation; it can detect faults in time and handle faults in time; reduce the manual complexity of fault handling, reduce the number of manual and manual interventions, and reduce the maintenance of base station equipment. cost. 2 is a structural block diagram of an apparatus for implementing self-healing of a base station device according to an embodiment of the present invention. As shown in FIG. 2, the embodiment includes: a task establishing module 20, configured to establish a self-healing task, and put the self-healing task into the task. In the queue, the processing module 21 is configured to perform a corresponding self-healing operation on the self-healing task in the task queue. Further, the apparatus for implementing self-healing of the base station device further includes: a setting module 22, configured to set a self-healing condition, the self-healing condition including a self-healing parameter value, a switch state, and an effective range. The task creation module 20 includes: The monitoring sub-module is configured to receive a self-healing trigger event, and the self-healing trigger event includes an alarm and a performance indicator; the determining sub-module is configured to determine whether the self-healing triggering event satisfies a self-healing condition, and if so, establishing a corresponding self-healing triggering event Self-healing tasks. The self-healing parameter value includes a delay processing time, and the determining sub-module is specifically configured to determine whether the time difference between the current time and the time when the self-healing trigger event occurs is not less than the delay processing time, and if so, and the current time self-healing trigger event If it still exists, a self-healing task corresponding to the self-healing trigger event is established. Further, the processing module 21 is further configured to remove the self-healing task from the task queue after performing a corresponding self-healing operation on the self-healing task in the task queue. Further, the processing module 21 includes: a processing sub-module configured to perform a self-healing operation corresponding to the self-healing task; and a reporting sub-module configured to report the monitoring message to the user interface after performing the self-healing operation and/or performing the self-healing operation The monitoring message includes the result of the self-healing operation. In the above solution, the device for self-healing of the base station device establishes a self-healing task, and puts the self-healing task into the task queue, and then performs a corresponding self-healing operation on the self-healing task in the task queue, and the technical solution of the present invention can When the base station fails or the performance is degraded, the fault is automatically processed and the performance is optimized. The fault can be found in time and the fault can be handled in time. The manual complexity of the fault handling process is reduced, the number of manual recovery and manual intervention is reduced, and the maintenance cost of the base station equipment is reduced. The method for implementing the self-healing of the base station device of the present invention is further described in the following with reference to a specific embodiment: Step 1 of the first embodiment: providing a self-healing function setting interface in the network element management system, and setting the self-healing parameter of the self-healing function And the effective range, self-healing parameters such as delay processing time t (the delay processing time t corresponding to each self-healing trigger event is different), whether to compensate, whether to fall back, switch state, timeout time (experience value 10 minutes), compensation The parameter range (specifically each parameter range is different), etc., the effective range is such as a network element, a cell, etc., and all network elements or cells correspond to a set of self-healing parameters. The delay processing time t refers to the self-healing operation of the self-healing trigger event after the self-healing trigger event occurs for a period of time, so that the flashing alarm and the transient instability of the performance can be filtered out, for example, the base station is just powered on. Initially, the base station will report the alarm such as the base station retreat, but this is a normal step for the base station to power on, and it will automatically recover after a period of time. In this case, you do not need to perform self-healing operation. You can set the delay processing time to deal with this situation. The delay processing time varies according to the alarm characteristics. For example, the cell retreat alarm self-healing delay processing time is 0.5 hours-6. hour. Step S2: The device for self-healing of the base station device monitors the faults and performance indicators reported by all the network elements in real time, and is collectively referred to as a self-healing trigger event. The device for self-healing of the base station device establishes a corresponding self-healing trigger event according to the self-healing condition. The self-healing task, and put all self-healing tasks into the task queue, in order to perform the corresponding self-healing operations. For example, if the implementation device of the base station device self-healing listens to the cell retreat alarm, and the corresponding delay processing time is set to 3 hours, the device for self-healing of the base station device determines whether the time for receiving the cell retreat alarm for the first time exceeds 3 Hour, if yes, and the current self-healing trigger event still exists, that is, the implementing device of the base station device self-healing still receives the cell retreat alarm, and the base station is still in the retired state, and the base station device self-healing device establishes the corresponding cell retreat. The self-healing task of the alarm, and put the self-healing task into the task queue. The task queue includes an immediate execution queue and a wait queue. The immediate execution queue is a queue in which the self-healing task currently performed by the device of the base station device is self-healing. Since the self-healing operation performed at the same time may affect the performance of the network management system, an immediate execution queue may set an upper limit, which may be specifically set. 50, that is, the number of self-healing tasks currently performed cannot exceed 50, but the number of self-healing tasks that may need to be performed currently is greater than the upper limit, and the self-healing task that needs to be performed outside the upper limit enters the waiting queue at the base station. After the device self-healing device executes the self-healing task in the queue, the self-healing task in the waiting queue enters the immediate execution queue, so that the self-healing operation performed by the self-healing device of the base station device performs the corresponding self-healing operation. When the self-healing trigger event or self-healing function corresponds to the self-healing parameters (such as switch, delay processing time) and the effective range changes, the task queue is refreshed in real time. Step S3: The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue, and after performing the self-healing operation, removes the self-healing task that no longer satisfies the self-healing condition from the task queue. The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue. For example, for the cell back-off alarm, the device for self-healing of the base station device modifies or sets various parameters of the network element management system to make The community is back in service. In this embodiment, the self-healing task in the task queue is processed by a single thread. To prevent the concurrently executed tasks from affecting the performance of the network management system, the immediate execution queue upper limit can be set to 50, and the redundant self-healing tasks are put into the waiting queue. When the total number of tasks in the queue is less than 50, the self-healing task waiting for the queue is immediately moved to the immediate execution queue. The self-healing device of the base station device reports the monitoring message during the self-healing operation process, and the network management can understand the whole process of self-healing by monitoring the message. The monitoring message is divided into a free mode and a controlled mode. In this embodiment, the free mode is used to report the monitoring message to the user interface of the network management. The free mode, that is, the network management can only understand the self-healing process, but not Can interfere with the self-healing process. As shown in FIG. 3, the free mode monitoring message is reported to the self-healing monitoring module during the self-healing operation, and the reported free mode monitoring message is recorded by the self-healing log module. As shown in Figure 4, after the self-healing operation is performed, it will be judged whether the self-healing is successful after the set timeout period. If the self-healing trigger event disappears within the set timeout period (such as alarm recovery and performance is better), it is considered to be self-healing, otherwise the self-healing failure is considered. Problems encountered during self-healing operations are also considered self-healing failures. In the case of self-healing failure, you can choose whether to self-healing before the rollback according to the self-healing parameters (such as whether to roll back). The rollback function makes the whole self-healing function more secure. In the case of self-healing failure, It can be compensated according to the preset self-healing parameters (such as compensation), and solve the problem as much as possible. Embodiment 2 Step S1: A corresponding self-healing function and a compensation action are set in the network element management system for each base station device known fault or performance event, indicating how to perform self-healing trigger events such as a fault or a performance event. More and more compensation. For each self-healing function, the self-healing parameter and the effective range corresponding to the self-healing function can be set. The self-healing parameters such as the delay processing time t (the delay processing time t corresponding to each self-healing trigger event is different), whether to compensate , whether it is a fallback, a switch state, a timeout period (experience value of 10 minutes), a range of compensation parameters (specifically each parameter range is different), etc., the effective range is such as a network element, a cell, etc., different effective ranges such as a network element or a cell, Can correspond to multiple sets of self-healing parameters. The delay processing time t refers to the self-healing operation of the self-healing trigger event after the self-healing trigger event occurs for a period of time, so that the flashing alarm and the transient instability of the performance can be filtered out, for example, the base station is just powered on. In the initial stage, the base station will report the alarm such as the base station retreat, but this is a normal step for the base station to power on. It will automatically recover after a period of time. In this case, the self-healing operation is not required, and the delay processing time can be set to cope with this situation. The processing time varies according to the alarm characteristics. For example, the cell retreat alarm self-healing delay processing time is 0.5 hours to 6 hours. Step S2: The device for self-healing of the base station device monitors the faults and performance indicators reported by all the network elements in real time, and is collectively referred to as a self-healing trigger event. The device for self-healing of the base station device establishes a corresponding self-healing trigger event according to the self-healing condition. The self-healing task, and put all self-healing tasks into the task queue, in order to perform the corresponding self-healing operations. For example, if the implementation device of the base station device self-healing listens to the cell retreat alarm, and the corresponding delay processing time is set to 3 hours, the device for self-healing of the base station device determines whether the time for receiving the cell retreat alarm for the first time exceeds 3 Hour, if yes, and the current self-healing trigger event still exists, that is, the implementing device of the base station device self-healing still receives the cell retreat alarm, and the base station is still in the retired state, and the base station device self-healing device establishes the corresponding cell retreat. The self-healing task of the alarm, and put the self-healing task into the task queue. The task queue includes an immediate execution queue and a wait queue. The immediate execution queue is a queue in which the self-healing task currently performed by the device of the base station device is self-healing. Since the self-healing operation performed at the same time may affect the performance of the network management system, an immediate execution queue may set an upper limit, which may be specifically set. 50, that is, the number of self-healing tasks currently performed cannot exceed 50, but the number of self-healing tasks that may need to be performed currently is greater than the upper limit, and the self-healing task that needs to be performed outside the upper limit enters the waiting queue at the base station. After the device self-healing device executes the self-healing task in the queue, the self-healing task in the waiting queue enters the immediate execution queue, so that the self-healing operation performed by the self-healing device of the base station device performs the corresponding self-healing operation. When the self-healing trigger event or self-healing function corresponds to the self-healing parameters (such as switch, delay processing time) and the effective range changes, the task queue is refreshed in real time. Step S3: The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue, and after performing the self-healing operation, removes the self-healing task that no longer satisfies the self-healing condition from the task queue. The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue. For example, for the cell back-off alarm, the device for self-healing of the base station device modifies or sets various parameters of the network element management system to make The community is back in service. In this embodiment, the self-healing task in the task queue is processed by a single thread. To prevent the concurrently executed tasks from affecting the performance of the network management system, the immediate execution queue upper limit can be set to 50, and the redundant self-healing tasks are put into the waiting queue. When the total number of tasks in the queue is less than 50, the self-healing task waiting for the queue is immediately moved to the immediate execution queue. The self-healing device of the base station device reports the monitoring message during the self-healing operation process, and the network management can understand the whole process of self-healing by monitoring the message. The monitoring message is divided into a free mode and a controlled mode. In this embodiment, the free mode is used to report the monitoring message to the user interface of the network management. The free mode, that is, the network management can only understand the self-healing process, but cannot interfere with the self-healing process. As shown in FIG. 3, the free mode monitoring message is reported to the self-healing monitoring module during the self-healing operation, and the reported free mode monitoring message is recorded by the self-healing log module. As shown in Figure 4, after the self-healing operation is performed, it will be judged whether the self-healing is successful after the set timeout period. If the self-healing trigger event disappears within the set timeout period (such as alarm recovery and performance is better), it is considered to be self-healing, otherwise the self-healing failure is considered. Problems encountered during self-healing operations are also considered self-healing failures. In the case of self-healing failure, you can choose whether to self-healing before the rollback according to the self-healing parameters (such as whether to roll back). The rollback function makes the whole self-healing function more secure. In the case of self-healing failure, It can be compensated according to the preset self-healing parameters (such as compensation), and solve the problem as much as possible. Embodiment 3 Step S1: providing a self-healing function setting interface in the network element management system, setting the self-healing parameter and the effective range of the self-healing function, and the self-healing parameter such as the delay processing time t (corresponding to each self-healing trigger event) Delay processing time t is different), whether to compensate, whether to retreat, switch state, timeout time (experience value 10 minutes), compensation parameter range (specifically each parameter range is different), etc., effective range such as network element, cell, etc. Provide self-healing parameters for all self-healing functions, such as switch status, delay processing time, etc., to provide a unified setting interface, so that all self-healing functions of all network elements have a unified interface to set parameters once, thus simplifying operating. Different effective ranges, such as network elements or cells, can correspond to multiple sets of self-healing parameters. The delay processing time t refers to the self-healing operation of the self-healing trigger event after the self-healing trigger event occurs for a period of time, so that the flashing alarm and the transient instability of the performance can be filtered out, for example, the base station is just powered on. In the initial stage, the base station will report the alarm such as the base station retreat, but this is a normal step for the base station to power on. It will automatically recover after a period of time. In this case, the self-healing operation is not required, and the delay processing time can be set to cope with this situation. The processing time varies according to the alarm characteristics. For example, the cell retreat alarm self-healing delay processing time is 0.5 hours to 6 hours. Step S2: The device for self-healing of the base station device monitors the faults and performance indicators reported by all the network elements in real time, and is collectively referred to as a self-healing trigger event. The device for self-healing of the base station device establishes a corresponding self-healing trigger event according to the self-healing condition. The self-healing task, and put all self-healing tasks into the task queue, in order to perform the corresponding self-healing operations. For example, if the implementation device of the base station device self-healing listens to the cell retreat alarm, and the corresponding delay processing time is set to 3 hours, the device for self-healing of the base station device determines whether the time for receiving the cell retreat alarm for the first time exceeds 3 Hour, if yes, and the current self-healing trigger event still exists, that is, the implementing device of the base station device self-healing still receives the cell retreat alarm, and the base station is still in the retired state, and the base station device self-healing device establishes the corresponding cell retreat. The self-healing task of the alarm, and put the self-healing task into the task queue. The task queue includes an immediate execution queue and a wait queue. The immediate execution queue is a queue in which the self-healing task currently performed by the device of the base station device is self-healing. Since the self-healing operation performed at the same time may affect the performance of the network management system, an immediate execution queue may set an upper limit, which may be specifically set. 50, that is, the number of self-healing tasks currently performed cannot exceed 50, but the number of self-healing tasks that may need to be performed currently is greater than the upper limit, and the self-healing task that needs to be performed outside the upper limit enters the waiting queue at the base station. After the device self-healing device executes the self-healing task in the queue, the self-healing task in the waiting queue enters the immediate execution queue, so that the self-healing operation performed by the self-healing device of the base station device performs the corresponding self-healing operation. When the self-healing trigger event or self-healing function corresponds to the self-healing parameters (such as switch, delay processing time) and the effective range changes, the task queue is refreshed in real time. Step S3: The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue, and after performing the self-healing operation, removes the self-healing task that no longer satisfies the self-healing condition from the task queue. The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue. For example, for the cell back-off alarm, the device for self-healing of the base station device modifies or sets various parameters of the network element management system to make The community is back in service. In this embodiment, the self-healing task in the task queue is processed by a single thread. To prevent the concurrently executed tasks from affecting the performance of the network management system, the immediate execution queue upper limit can be set to 50, and the redundant self-healing tasks are put into the waiting queue. When the total number of tasks in the queue is less than 50, the self-healing task waiting for the queue is immediately moved to the immediate execution queue. The self-healing device of the base station device reports the monitoring message during the self-healing operation process, and the network management can understand the whole process of self-healing by monitoring the message. The monitoring message is divided into a free mode and a controlled mode. In this embodiment, the free mode is used to report the monitoring message to the user interface of the network management. The free mode, that is, the network management can only understand the self-healing process, but cannot interfere with the self-healing process. As shown in FIG. 3, the free mode monitoring message is reported to the self-healing monitoring module during the self-healing operation, and the reported free mode monitoring message is recorded by the self-healing log module. As shown in Figure 4, after the self-healing operation is performed, it will be judged whether the self-healing is successful after the set timeout period. If the self-healing trigger event disappears within the set timeout period (such as alarm recovery and performance is better), it is considered to be self-healing, otherwise the self-healing failure is considered. Problems encountered during self-healing operations are also considered self-healing failures. In the case of self-healing failure, you can choose whether to self-healing before the rollback according to the self-healing parameters (such as whether to roll back). The rollback function makes the whole self-healing function more secure. In the case of self-healing failure, It can be compensated according to the preset self-healing parameters (such as compensation), and solve the problem as much as possible. Embodiment 4 Step S1: providing a self-healing function setting interface in the network element management system, setting the self-healing parameter and the effective range of the self-healing function, and the self-healing parameter such as the delay processing time t (corresponding to each self-healing trigger event) Delay processing time t is different), whether to compensate, whether to fall back, switch state, timeout time (experience value 10 minutes), compensation parameter range (specifically each parameter range is different), etc., effective range such as network element, cell, etc. A self-healing function of all network elements or cells corresponds to a set of self-healing parameters. The delay processing time t refers to the self-healing operation of the self-healing trigger event after the self-healing trigger event occurs for a period of time, so that the flashing alarm and the transient instability of the performance can be filtered out, for example, the base station is just powered on. In the initial stage, the base station will report the alarm such as the base station retreat, but this is a normal step for the base station to power on. It will automatically recover after a period of time. In this case, the self-healing operation is not required, and the delay processing time can be set to cope with this situation. The processing time varies according to the alarm characteristics. For example, the cell retreat alarm self-healing delay processing time is 0.5 hours to 6 hours. Step S2: The device for self-healing of the base station device monitors information such as faults and performance indicators reported by all network elements in real time, and is collectively referred to as a self-healing trigger event. The device for self-healing of the base station device establishes a correspondence according to the self-healing condition described above. Self-healing triggers the self-healing task of the event and puts all self-healing tasks into the task queue to perform the corresponding self-healing operations. For example, if the implementation device of the base station device self-healing listens to the cell retreat alarm, and the corresponding delay processing time is set to 3 hours, the device for self-healing of the base station device determines whether the time for receiving the cell retreat alarm for the first time exceeds 3 Hour, if yes, and the current self-healing trigger event still exists, that is, the implementing device of the base station device self-healing still receives the cell retreat alarm, and the base station is still in the retired state, and the base station device self-healing device establishes the corresponding cell retreat. The self-healing task of the alarm, and put the self-healing task into the task queue. The task queue includes an immediate execution queue and a wait queue. The immediate execution queue is a queue in which the self-healing task currently performed by the device of the base station device is self-healing. Since the self-healing operation performed at the same time may affect the performance of the network management system, an immediate execution queue may set an upper limit, which may be specifically set. 50, that is, the number of self-healing tasks currently performed cannot exceed 50, but the number of self-healing tasks that may need to be performed currently is greater than the upper limit, and the self-healing task that needs to be performed outside the upper limit enters the waiting queue at the base station. After the device self-healing device executes the self-healing task in the queue, the self-healing task in the waiting queue enters the immediate execution queue, so that the self-healing operation performed by the self-healing device of the base station device performs the corresponding self-healing operation. When the self-healing trigger event or self-healing function corresponds to the self-healing parameters (such as switch, delay processing time) and the effective range changes, the task queue is refreshed in real time. Step S3: The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue, and after performing the self-healing operation, removes the self-healing task that no longer satisfies the self-healing condition from the task queue. The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue. For example, for the cell back-off alarm, the device for self-healing of the base station device modifies or sets various parameters of the network element management system to make The community is back in service. In order to speed up the processing, the embodiment uses multiple threads to simultaneously process the self-healing tasks in the task queue. The task queue includes multiple waiting queues and an immediate execution queue, and each thread correspondingly processes a self-healing task in an immediate execution queue. To prevent the concurrent execution of the task from affecting the network management performance, the immediate execution queue upper limit can be set to 50, and the redundant self-healing task is placed in the waiting queue. As long as the total number of tasks executing the queue immediately is less than 50, the waiting queue will be self-healing immediately. The task moves into the immediate execution queue. The self-healing device of the base station device reports the monitoring message during the self-healing operation process, and the network management can understand the whole process of self-healing by monitoring the message. The monitoring message is divided into a free mode and a controlled mode. In this embodiment, the control mode is used to report the monitoring message to the user interface of the network management system. The controlled mode means that the network management can not only understand the whole process of self-healing through monitoring messages, but also report the previous report. The monitoring message is aborted or continues with the following operations. As shown in FIG. 5, the controlled mode monitoring message is reported to the self-healing monitoring module during the self-healing operation, and the self-healing log module is Record the reported controlled mode monitoring message. During the self-healing operation, if the network management user determines that it can continue, the following self-healing operation is continued; if the network management user selects to suspend, the self-healing operation is suspended. As shown in Figure 4, after the self-healing operation is performed, it will be judged whether the self-healing is successful after the set timeout period. If the self-healing trigger event disappears within the set timeout period (such as alarm recovery and performance is better), it is considered to be self-healing, otherwise the self-healing failure is considered. Problems encountered during self-healing operations are also considered self-healing failures. In the case of self-healing failure, you can choose whether to self-healing before the rollback according to the self-healing parameters (such as whether to roll back). The rollback function makes the whole self-healing function more secure. In the case of self-healing failure, It can be compensated according to the preset self-healing parameters (such as compensation), and solve the problem as much as possible. The self-healing method for the self-healing of the base station equipment of the present invention is to self-heal the events of the base station equipment with faults or performance degradation such as alarms and performance indicators, and the self-healing parameters of each self-healing function can be flexibly set, and the self-healing functions can be set for different self-healing functions. Different self-healing granularity (ie, effective range). The whole self-healing operation process can be monitored and managed in real time, and the self-healing results are presented in a concentrated manner, and the self-healing results can be evaluated and rolled back. The recovery and compensation actions can be set for the alarm of self-healing failure. With the technical solution of the present invention, the number of manual recovery and manual intervention can be reduced, and the maintenance cost of the base station equipment can be reduced. Many of the functional components described in this specification are referred to as modules, so as to more particularly emphasize the independence of their implementation. . In an embodiment of the invention, the modules may be implemented in software for execution by various types of processors. For example, an identified executable code module can comprise one or more physical or logical blocks of computer instructions, which can be constructed, for example, as an object, procedure, or function. Nonetheless, the executable code of the identified modules need not be physically located together, but may include different instructions stored in different bits. When these instructions are logically combined, they form a module and implement the specifications of the module. purpose. In practice, the executable code module can be a single instruction or a plurality of instructions, and can even be distributed over a plurality of different code segments, distributed among different programs, and distributed across multiple memory devices. Likewise, operational data can be identified within the module and can be implemented in any suitable form and organized within any suitable type of data structure. The operational data may be collected as a single data set, or may be distributed at different locations (including on different storage devices), and may at least partially exist as an electronic signal on a system or network. When the module can be implemented by software, considering the level of the existing hardware process, the module can be implemented in software. Without considering the cost, a person skilled in the art can construct a corresponding hardware circuit to implement the corresponding function. The hardware circuit includes a conventional very large scale integration (VLSI) circuit or gate array and Existing semiconductors such as logic chips, transistors, or other discrete components. Modules can also be implemented with programmable hardware devices such as field programmable gate arrays, programmable array logic, programmable logic devices, and the like. In the method embodiments of the present invention, the sequence numbers of the steps are not used to limit the sequence of the steps. For those skilled in the art, the steps of the steps are changed without any creative work. It is also within the scope of the invention. The above is a preferred embodiment of the present invention, and it should be noted that those skilled in the art can also make several improvements and retouchings without departing from the principles of the present invention. It should be considered as the scope of protection of the present invention.

Claims

Claim

A method for implementing self-healing of a base station device, comprising:

The device for self-healing of the base station device establishes a self-healing task, and puts the self-healing task into the task queue;

The device for self-healing of the base station device performs a corresponding self-healing operation on the self-healing task in the task queue.

The method for implementing the self-healing of the base station device according to claim 1, wherein the device for self-healing of the self-healing device of the base station device further comprises:

The device for self-healing of the base station device sets a self-healing condition, and the self-healing condition includes a self-healing parameter value, a switch state, and an effective range.

The method for implementing self-healing of a base station device according to claim 2, wherein the self-healing task of the self-healing device of the base station device comprises:

The device for self-healing of the base station device receives a self-healing trigger event, where the self-healing trigger event includes an alarm and a performance indicator;

The device for self-healing of the base station device determines whether the self-healing trigger event satisfies the self-healing condition, and if so, establishes a self-healing task corresponding to the self-healing trigger event.

The method for implementing self-healing of a base station device according to claim 3, wherein the self-healing parameter value includes a delay processing time, and the implementing device of the base station device self-healing determines whether the self-healing trigger event satisfies The self-healing task, if satisfied, the self-healing task corresponding to the self-healing trigger event is: the base station device self-healing implementation device determines whether the time difference between the current time and the time when the self-healing trigger event occurs The self-healing triggering event of the self-healing triggering event of the base station device establishes a self-healing task corresponding to the self-healing triggering event.

The method for implementing self-healing of a base station device according to claim 1, wherein the device for self-healing of the base station device after performing the self-healing operation on the self-healing task in the task queue further includes: The self-healing task of the base station device self-healing removes the self-healing task from the task queue.

The method for implementing the self-healing operation of the base station device according to claim 1, wherein the self-healing operation performed by the self-healing device of the base station device on the self-healing task in the task queue includes:

The device for self-healing of the self-healing task of the base station device performs a self-healing operation corresponding to the self-healing task, and reports a monitoring message to the user interface after performing the self-healing operation and/or performing the self-healing operation, the monitoring message including self-healing The result of the operation.

7. A device for implementing self-healing of a base station device, comprising:

The task establishing module is configured to establish a self-healing task, and put the self-healing task into the task queue; and the processing module is configured to perform a corresponding self-healing operation on the self-healing task in the task queue.

The device for implementing the self-healing of the base station device according to claim 7, wherein the device for implementing self-healing of the base station device further comprises:

The setting module is set to set a self-healing condition, and the self-healing condition includes a self-healing parameter value, a switch state, and an effective range.

The apparatus for implementing self-healing of a base station device according to claim 8, wherein the task establishing module comprises:

The monitoring submodule is configured to receive a self-healing trigger event, where the self-healing trigger event includes an alarm and a performance indicator;

The determining sub-module is configured to determine whether the self-healing trigger event satisfies the self-healing condition, and if satisfied, establish a self-healing task corresponding to the self-healing trigger event.

The apparatus for implementing self-healing of a base station device according to claim 9, wherein the self-healing parameter value includes a delay processing time,

The determining sub-module is specifically configured to determine whether the time difference between the current time and the time when the self-healing trigger event occurs is not less than the delay processing time. If yes, and the self-healing trigger event still exists at the current time, A self-healing task corresponding to the self-healing trigger event is established.

The apparatus for implementing self-healing of a base station device according to claim 7, wherein the processing module is further configured to: after performing a self-healing operation on the self-healing task in the task queue, the self-healing Tasks are removed from the task queue.

The apparatus for implementing self-healing of a base station device according to claim 7, wherein the processing module comprises: a processing sub-module, configured to perform a self-healing operation corresponding to the self-healing task; The reporting sub-module is configured to report the monitoring message to the user interface after performing the self-healing operation and/or performing the self-healing operation, the monitoring message including the result of the self-healing operation.