CN114116275A - Terminal abnormity repairing method and device, storage medium and electronic equipment - Google Patents
Terminal abnormity repairing method and device, storage medium and electronic equipment Download PDFInfo
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- CN114116275A CN114116275A CN202111279311.2A CN202111279311A CN114116275A CN 114116275 A CN114116275 A CN 114116275A CN 202111279311 A CN202111279311 A CN 202111279311A CN 114116275 A CN114116275 A CN 114116275A
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- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
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- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0709—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
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Abstract
The application discloses a method and a device for repairing terminal abnormity, a storage medium and electronic equipment, which relate to the technical field of Internet, and the method comprises the following steps: receiving anomaly detection configuration information which is expected to be issued by a cloud server through a scene, wherein the anomaly detection configuration information comprises collection strategy information, detection scene information and an anomaly reporting strategy; according to the collection strategy information, collecting abnormal data in a scene corresponding to the detection scene information; when the collected abnormal data accords with the abnormal reporting strategy, uploading the abnormal data to the cloud server; and receiving repair strategy information corresponding to the abnormal data sent by the cloud server, so as to repair the terminal abnormity according to the repair strategy information. The method and the device effectively improve the reliability of abnormal repair of the terminal.
Description
Technical Field
The application relates to the technical field of exception handling, in particular to a method and a device for repairing terminal exception, a storage medium and electronic equipment.
Background
The technology for repairing the terminal abnormity, namely repairing the abnormity appearing in the terminal, is a scheme for repairing by actively collecting and reporting a large amount of preset abnormity in a full scale through a plurality of buried points arranged in the terminal at present. In the current abnormal terminal repairing scheme, the terminal is difficult to flexibly perform abnormal repairing work, the task processing load of the terminal is high, the performance of the terminal is required to be high, and the reliability of abnormal terminal repairing is low.
Disclosure of Invention
The embodiment of the application provides a scheme, which can flexibly carry out abnormity repairing work, effectively reduces the task processing load of the terminal, reduces the performance requirement of the terminal, and effectively improves the reliability of abnormity repairing of the terminal.
In order to solve the above technical problem, an embodiment of the present application provides the following technical solutions:
according to an embodiment of the present application, a method for repairing a terminal abnormality includes: receiving anomaly detection configuration information which is expected to be issued by a cloud server through a scene, wherein the anomaly detection configuration information comprises collection strategy information, detection scene information and an anomaly reporting strategy; according to the collection strategy information, collecting abnormal data in a scene corresponding to the detection scene information; when the collected abnormal data accords with the abnormal reporting strategy, uploading the abnormal data to the cloud server; and receiving repair strategy information corresponding to the abnormal data sent by the cloud server, so as to repair the terminal abnormity according to the repair strategy information.
In some embodiments of the present application, the uploading the abnormal data to the cloud server when the collected abnormal data conforms to the abnormal reporting policy includes: saving the collected abnormal data to a target storage file; and when the data volume in the target storage file is higher than the preset threshold value indicated by the abnormal reporting strategy, uploading the target storage file to the cloud server.
In some embodiments of the present application, the saving the collected exception data to a target storage file includes: carrying out format conversion processing on the collected abnormal data to generate abnormal data with a uniform format; and saving the abnormal data in the uniform format to the target storage file.
In some embodiments of the present application, the terminal includes a target main process for processing a terminal service; the collecting abnormal data in the scene corresponding to the detection scene information according to the collection strategy information includes: and triggering the target main process to collect abnormal data according to the collection strategy information under the scene corresponding to the detection scene information.
In some embodiments of the present application, the performing format conversion processing on the collected exception data to generate target exception data in a unified format includes: starting a target subprocess after the abnormal data is collected; and performing format conversion processing on the collected abnormal data through the target subprocess to generate target abnormal data with a uniform format.
In some embodiments of the present application, an exception recovery protocol is predefined in the cloud server; the receiving of the repair policy information corresponding to the abnormal data issued by the cloud server includes: and receiving repair strategy information corresponding to the abnormal data sent by the cloud server according to the abnormal recovery protocol.
In some embodiments of the present application, an exception recovery protocol is predetermined in the terminal; the performing of the abnormal terminal repair according to the repair policy information includes: and according to the repairing strategy information, performing terminal abnormity repairing according to the abnormity repairing protocol.
According to an embodiment of the present application, a terminal abnormality repairing apparatus includes: the system comprises a configuration receiving module, a configuration processing module and a configuration processing module, wherein the configuration receiving module is used for receiving abnormal detection configuration information sent by a cloud server, and the abnormal detection configuration information comprises collection strategy information, detection scene information and an abnormal reporting strategy; the collection module is used for collecting abnormal data under the scene corresponding to the detection scene information according to the collection strategy information; the uploading module is used for uploading the abnormal data to the cloud server when the collected abnormal data accords with the abnormal reporting strategy; and the repairing module is used for receiving repairing strategy information corresponding to the abnormal data sent by the cloud server so as to repair the terminal abnormity according to the repairing strategy information.
In some embodiments of the present application, the upload module includes: the cache unit is used for storing the collected abnormal data to a target storage file; and the reporting unit is used for uploading the target storage file to the cloud server when the data volume in the target storage file is higher than a preset threshold value indicated by the abnormal reporting strategy.
In some embodiments of the present application, the cache unit is configured to: carrying out format conversion processing on the collected abnormal data to generate abnormal data with a uniform format; and saving the abnormal data in the uniform format to the target storage file.
In some embodiments of the present application, the terminal includes a target main process for processing a terminal service; the collection module includes: and the collection triggering unit is used for triggering the target main process to collect abnormal data according to the collection strategy information under the scene corresponding to the detection scene information.
In some embodiments of the present application, the cache unit is configured to: starting a target subprocess after the abnormal data is collected; and performing format conversion processing on the collected abnormal data through the target subprocess to generate target abnormal data with a uniform format.
In some embodiments of the present application, the repair module is configured to: and receiving repair strategy information corresponding to the abnormal data sent by the cloud server according to the abnormal recovery protocol.
In some embodiments of the present application, the repair module is configured to: and according to the repairing strategy information, performing terminal abnormity repairing according to the abnormity repairing protocol.
According to another embodiment of the present application, a storage medium has stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform the method of an embodiment of the present application.
According to another embodiment of the present application, an electronic device may include: a memory storing a computer program; and the processor reads the computer program stored in the memory to execute the method in the embodiment of the application.
In the embodiment of the application, anomaly detection configuration information which is expected to be issued by a cloud server through a scene is received, wherein the anomaly detection configuration information comprises collection strategy information, detection scene information and an anomaly reporting strategy; according to the collection strategy information, collecting abnormal data in a scene corresponding to the detection scene information; when the collected abnormal data accords with an abnormal reporting strategy, uploading the abnormal data to a cloud server; and receiving repair strategy information corresponding to the abnormal data sent by the cloud server, and performing terminal abnormal repair according to the repair strategy information.
In this way, the terminal receives the collection strategy information, the detection scene information and the abnormal reporting strategy which are expected to be issued by the cloud server through the scene, the terminal only needs to collect abnormal data under the scene corresponding to the detection scene information according to the collection strategy information, the terminal does not need to actively monitor in full scale in real time, the abnormal repairing work can be flexibly carried out according to the requirement, the task processing load of the terminal is effectively reduced, further, when the collected abnormal data accords with the abnormal reporting strategy, the abnormal data is uploaded to the cloud server, the terminal does not need to report in full scale in real time, the task processing load of the terminal and the performance requirement of the terminal are further reduced, the process reliability of obtaining the repairing strategy information is further ensured, and the reliability of abnormal repairing of the terminal is effectively improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 shows a schematic diagram of a system to which embodiments of the present application may be applied.
Fig. 2 shows a flowchart of a terminal abnormality repairing method according to an embodiment of the present application.
Fig. 3 shows a block diagram of a terminal abnormality repairing apparatus according to an embodiment of the present application.
FIG. 4 shows a block diagram of an electronic device according to an embodiment of the application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description that follows, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise indicated. Accordingly, these steps and operations will be referred to, several times, as being performed by a computer, the computer performing operations involving a processing unit of the computer in electronic signals representing data in a structured form. This operation transforms the data or maintains it at locations in the computer's memory system, which may be reconfigured or otherwise altered in a manner well known to those skilled in the art. The data maintains a data structure that is a physical location of the memory that has particular characteristics defined by the data format. However, the principles of the present application are described in the foregoing text and are not meant to be limiting, as those of ordinary skill in the art will appreciate that various steps and operations described below may be implemented in hardware.
FIG. 1 shows a schematic diagram of a system 100 to which embodiments of the present application may be applied. As shown in fig. 1, the system 100 may include a cloud server 101 and a terminal 102. The terminal 102 may be any computer device, such as a computer, a mobile phone, a smart watch, a home appliance, and the like. The cloud server 101 and the terminal 102 may be connected by a wired or wireless connection.
In an embodiment of the present example, the terminal 102 may receive anomaly detection configuration information that is sent by the cloud server 101 in anticipation of a scene, where the anomaly detection configuration information includes collection policy information, detection scene information, and an anomaly reporting policy; according to the collection strategy information, collecting abnormal data in a scene corresponding to the detection scene information; when the collected abnormal data accords with an abnormal reporting strategy, the abnormal data is uploaded to the cloud server 101; receiving repair strategy information corresponding to abnormal data sent by a cloud server 101; and carrying out terminal abnormity repair according to the repair strategy information.
Fig. 2 schematically shows a flowchart of a terminal abnormality repairing method according to an embodiment of the present application. The execution subject of the terminal abnormality repairing method may be any device, such as the terminal 102 shown in fig. 1.
As shown in fig. 2, the terminal abnormality repairing method may include steps S210 to S240.
Step S210, receiving anomaly detection configuration information which is expected to be issued by a cloud server through a scene, wherein the anomaly detection configuration information comprises collection strategy information, detection scene information and an anomaly reporting strategy;
step S220, according to the collection strategy information, collecting abnormal data under the scene corresponding to the detection scene information;
step S230, when the collected abnormal data accords with an abnormal reporting strategy, the abnormal data is uploaded to a cloud server;
step S240, receiving repair policy information corresponding to the abnormal data sent by the cloud server, so as to repair the terminal abnormality according to the repair policy information.
The following describes a specific process of each step performed when performing terminal anomaly repair.
In step S210, anomaly detection configuration information that is expected to be issued by the cloud server through a scene is received, where the anomaly detection configuration information includes collection policy information, detection scene information, and an anomaly reporting policy.
In the embodiment of this example, the anomaly detection configuration information, that is, the configuration information for performing anomaly detection in the terminal, may at least include collection policy information, detection scenario information, and an anomaly reporting policy. The collected policy information, that is, policy information for detecting abnormal data in the terminal, such as detection of a switch, the number of times of detection, detection frequency, and the like. The detection context information is context information for detecting abnormal data in the terminal, such as a context in which a system or an application in the terminal performs a specific operation. The exception reporting policy is policy information of exception data reported and detected in the terminal, for example, information such as reported data volume, data format, data content type, and the like.
In an embodiment, the cloud server issues the anomaly detection configuration information in anticipation of a scene, where the anomaly detection configuration information may be issued by the cloud server when the cloud server determines a terminal having a task in the same scene as a target terminal through collected anomaly information reported by the target terminal in a target terminal cluster (for example, when a certain anomaly occurs in a certain scene), and then issues the anomaly detection configuration information matched with the anomaly information reported by the target terminal to the terminal having the task in the same scene as the target terminal. In an embodiment, the cloud server issues the anomaly detection configuration information in anticipation of the scene, where the cloud server receives a detection instruction of a user and then issues the anomaly detection configuration information corresponding to the scene indicated by the detection instruction.
In step S220, according to the collection policy information, abnormal data is collected in the scene corresponding to the detection scene information.
In the embodiment of the present example, policy information, that is, policy information for detecting abnormal data in a terminal, such as detection switch, detection number of times, detection frequency, and the like, is collected. When it is monitored that the terminal enters a scene corresponding to the detection scene information, the terminal may collect abnormal data according to the collection policy information, for example, turn on an abnormal collection code in the target main process according to a specific detection switch in the collection policy information, and collect abnormal data according to the detection times, the detection frequency, and the like. The terminal only needs to collect abnormal data in the scene corresponding to the detection scene information according to the collection strategy information, the terminal does not need active full-scale real-time monitoring, abnormal repairing work can be flexibly carried out according to requirements, and the task processing load of the terminal is effectively reduced.
In one embodiment, the terminal comprises a target main process for processing terminal services; step S220, collecting abnormal data in the scene corresponding to the detection scene information according to the collection policy information, including: and under the scene corresponding to the detection scene information, triggering the target main process to collect abnormal data according to the collection strategy information.
The target host process can be a process corresponding to a system or an application program, and abnormal data can be collected in real time in the process of processing the service by the terminal through the target host process. Specifically, when it is monitored that the terminal enters a service scene corresponding to the detection scene information, the abnormal collection code indicated by the detection switch in the target main process is turned on according to the detection switch in the collection policy information, and abnormal data is collected according to the detection times, the detection frequency and the like.
In step S230, when the collected abnormal data conforms to the abnormal reporting policy, the abnormal data is uploaded to the cloud server.
In the embodiment of this example, the exception reporting policy is policy information of reporting detected exception data in the terminal, for example, information such as a reported data amount, a data format, and a data content type. When the collected abnormal data accord with the abnormal reporting strategy, the abnormal data are uploaded to the cloud server, so that the situation that the terminal continuously uploads the abnormal data to the cloud server can be avoided, the terminal does not need to report the abnormal data in a full-scale real-time manner, the abnormal data accord with the abnormal reporting strategy only needs to be uploaded to the cloud server, and the task processing load of the terminal and the performance requirement of the terminal are further reduced.
In one embodiment, in step S230, when the collected abnormal data conforms to the abnormal reporting policy, uploading the abnormal data to the cloud server includes:
storing the collected abnormal data to a target storage file; and when the data volume in the target storage file is higher than a preset threshold value indicated by the abnormal reporting strategy, uploading the target storage file to a cloud server.
The target storage file can be a private storage file in the terminal, the collected abnormal data is stored in the target storage file, and when the data volume in the target storage file is higher than a preset threshold value indicated by the abnormal reporting strategy, the abnormal data is reported, so that the problems of high terminal pressure and invalid reported abnormal data caused by real-time reporting can be avoided, and the reliability of the abnormal repairing process is ensured.
In one embodiment, saving the collected exception data to a target storage file comprises: carrying out format conversion processing on the collected abnormal data to generate abnormal data with a uniform format; and storing the abnormal data with the uniform format to a target storage file.
The collected abnormal data is subjected to format conversion processing to generate abnormal data with a uniform format, so that the terminal can perform uniform format arrangement and recording on the abnormal data format while caching the abnormal data, the cloud server can perform abnormal analysis reliably, and the abnormal repairing efficiency is improved.
In one embodiment, performing format transformation processing on the collected exception data to generate target exception data in a unified format includes: starting a target subprocess after collecting abnormal data; and carrying out format conversion processing on the collected abnormal data through the target subprocess to generate target abnormal data with a uniform format.
The target subprocess is a new process relative to the main process, format conversion processing is carried out on the collected abnormal data by starting the target subprocess to generate target abnormal data with a uniform format, and then caching, reporting and the like are carried out, so that the abnormal data collection and processing efficiency can be further improved, and the pressure of the main process of the terminal is reduced.
In step S240, repair policy information corresponding to the abnormal data sent by the cloud server is received, so as to repair the terminal abnormality according to the repair policy information.
In the embodiment of the present example, the repair policy information is policy information for performing exception repair in the terminal, and the terminal receives the repair policy information corresponding to the exception data sent by the cloud server, so that the exception repair can be performed in time and accurately according to the repair policy information. The process of obtaining the repair strategy information is very reliable, so that the reliability of abnormal repair of the terminal is effectively improved.
In one embodiment, an exception recovery protocol is predetermined in the cloud server; in step S240, receiving repair policy information corresponding to the abnormal data sent by the cloud server includes: and receiving repair strategy information corresponding to the abnormal data sent by the cloud server according to the abnormal recovery protocol.
The exception recovery protocol is a predetermined protocol for issuing repair policy information, for example, a protocol via a specific transmission channel or at a specific time. In a certain abnormal situation, the cloud server finds that the product data is abnormal, and the cloud server issues repair strategy information of which the data is not in line with expectation according to a repair protocol. The reliability of the abnormal recovery can be further improved by presetting an abnormal recovery protocol in the cloud server.
In one embodiment, an exception recovery protocol is predetermined in the terminal; in step S240, performing abnormal terminal repair according to the repair policy information, including: and according to the repairing strategy information, performing terminal abnormity repairing according to the abnormity repairing protocol.
The exception recovery protocol is a predetermined protocol for recovering an exception of the terminal, for example, a protocol such as a specific recovery sequence or a recovery time point. And the terminal automatically updates the internal logic according to the repair strategy information according to the protocol specification, thereby realizing that the terminal has reliable abnormal self-repair capability.
In this way, based on steps S210 to S240, the terminal receives the anomaly detection configuration information including the collection policy information, the detection scene information, and the anomaly reporting policy, which is sent by the cloud server through the scene expectation, the terminal only needs to collect the anomaly data in the scene corresponding to the detection scene information according to the collection policy information, the terminal does not need to actively monitor in a full-scale real-time manner, and can flexibly perform anomaly repairing work according to the requirement, the task processing load of the terminal itself is effectively reduced, further, when the collected anomaly data conforms to the anomaly reporting policy, the anomaly data is uploaded to the cloud server, the terminal does not need to report in a full-scale real-time manner, the task processing load of the terminal itself and the performance requirement of the terminal itself are further reduced, thereby ensuring the process reliability of obtaining the repairing policy information, and effectively improving the reliability of the anomaly repairing of the terminal.
In order to better implement the method for repairing the terminal abnormality provided by the embodiment of the present application, the embodiment of the present application further provides a device for repairing the terminal abnormality based on the method for repairing the terminal abnormality. The meaning of the noun is the same as that in the above-mentioned terminal abnormality repairing method, and specific implementation details may refer to the description in the method embodiment. Fig. 3 shows a block diagram of a terminal abnormality repairing apparatus according to an embodiment of the present application.
As shown in fig. 3, the terminal abnormality repairing apparatus 300 may include a configuration receiving module 310, a collecting module 320, an uploading module 330, and a repairing module 340.
The configuration receiving module 310 may be configured to receive anomaly detection configuration information sent by a cloud server, where the anomaly detection configuration information includes collection policy information, detection scenario information, and an anomaly reporting policy; the collecting module 320 may collect abnormal data in a scene corresponding to the detection scene information according to the collection policy information; the uploading module 330 may be configured to upload the abnormal data to the cloud server when the collected abnormal data conforms to the abnormal reporting policy; the repair module 340 may be configured to receive repair policy information corresponding to the abnormal data sent by the cloud server, so as to repair the terminal abnormality according to the repair policy information.
In some embodiments of the present application, the uploading module 330 includes: the cache unit is used for storing the collected abnormal data to a target storage file; and the reporting unit is used for uploading the target storage file to the cloud server when the data volume in the target storage file is higher than a preset threshold value indicated by the abnormal reporting strategy.
In some embodiments of the present application, the cache unit is configured to: carrying out format conversion processing on the collected abnormal data to generate abnormal data with a uniform format; and saving the abnormal data in the uniform format to the target storage file.
In some embodiments of the present application, the terminal includes a target main process for processing a terminal service; the collection module 320 includes: and the collection triggering unit is used for triggering the target main process to collect abnormal data according to the collection strategy information under the scene corresponding to the detection scene information.
In some embodiments of the present application, the cache unit is configured to: starting a target subprocess after the abnormal data is collected; and performing format conversion processing on the collected abnormal data through the target subprocess to generate target abnormal data with a uniform format.
In some embodiments of the present application, the repair module 340 is configured to: and receiving repair strategy information corresponding to the abnormal data sent by the cloud server according to the abnormal recovery protocol.
In some embodiments of the present application, the repair module 340 is configured to: and according to the repairing strategy information, performing terminal abnormity repairing according to the abnormity repairing protocol.
In this way, based on the terminal anomaly repairing apparatus 300, the terminal receives anomaly detection configuration information including collection policy information, detection scenario information and anomaly reporting policy, which is expected to be issued by the cloud server through a scene, the terminal only needs to collect anomaly data in a scene corresponding to the detection scenario information according to the collection policy information, the terminal does not need to actively monitor in full-scale real time, can flexibly carry out abnormal repair work according to the requirements, effectively reduces the task processing load of the terminal, and further, when the collected abnormal data accords with the abnormal reporting strategy, the abnormal data is uploaded to the cloud server, the terminal does not need to report the abnormal data in a full-scale real-time manner, the task processing load of the terminal and the performance requirement of the terminal are further reduced, and then the process reliability of obtaining the repair strategy information is ensured, and the reliability of abnormal repair of the terminal is effectively improved.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In addition, an embodiment of the present application further provides an electronic device, where the electronic device may be a terminal or a server, as shown in fig. 4, which shows a schematic structural diagram of the electronic device according to the embodiment of the present application, and specifically:
the electronic device may include components such as a processor 401 of one or more processing cores, memory 402 of one or more computer-readable storage media, a power supply 403, and an input unit 404. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 4 does not constitute a limitation of the electronic device and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components. Wherein:
the processor 401 is a control center of the electronic device, connects various parts of the entire computer device using various interfaces and lines, and performs various functions of the computer device and processes data by operating or executing software programs and/or modules stored in the memory 402 and calling data stored in the memory 402, thereby integrally monitoring the electronic device. Optionally, processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly handles operating systems, user pages, application programs, and the like, and the modem processor mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 401.
The memory 402 may be used to store software programs and modules, and the processor 401 executes various functional applications and data processing by operating the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to use of the computer device, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory 402 may also include a memory controller to provide the processor 401 access to the memory 402.
The electronic device further comprises a power supply 403 for supplying power to the various components, and preferably, the power supply 403 is logically connected to the processor 401 through a power management system, so that functions of managing charging, discharging, and power consumption are realized through the power management system. The power supply 403 may also include any component of one or more dc or ac power sources, recharging systems, power failure detection circuitry, power converters or inverters, power status indicators, and the like.
The electronic device may further include an input unit 404, and the input unit 404 may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the electronic device may further include a display unit and the like, which are not described in detail herein. Specifically, in this embodiment, the processor 401 in the electronic device loads an executable file corresponding to one or more processes of the computer program into the memory 402 according to the following instructions, and the processor 401 runs the computer program stored in the memory 402, so as to implement various functions, for example, the processor 401 may execute:
receiving anomaly detection configuration information which is expected to be issued by a cloud server through a scene, wherein the anomaly detection configuration information comprises collection strategy information, detection scene information and an anomaly reporting strategy; according to the collection strategy information, collecting abnormal data in a scene corresponding to the detection scene information; when the collected abnormal data accords with the abnormal reporting strategy, uploading the abnormal data to the cloud server; and receiving repair strategy information corresponding to the abnormal data sent by the cloud server, so as to repair the terminal abnormity according to the repair strategy information.
In some embodiments of the present application, when the collected exception data conforms to the exception reporting policy and the exception data is uploaded to the cloud server, the processor 401 may perform: saving the collected abnormal data to a target storage file; and when the data volume in the target storage file is higher than the preset threshold value indicated by the abnormal reporting strategy, uploading the target storage file to the cloud server.
In some embodiments of the present application, when saving the collected exception data to the target storage file, the processor 401 may perform: carrying out format conversion processing on the collected abnormal data to generate abnormal data with a uniform format; and saving the abnormal data in the uniform format to the target storage file.
In some embodiments of the present application, the terminal includes a target main process for processing a terminal service; when collecting abnormal data in a scene corresponding to the detection scene information according to the collection policy information, the processor 401 may execute: and triggering the target main process to collect abnormal data according to the collection strategy information under the scene corresponding to the detection scene information.
In some embodiments of the present application, when performing format conversion processing on the collected exception data to generate target exception data in a unified format, the processor 401 may perform: starting a target subprocess after the abnormal data is collected; and performing format conversion processing on the collected abnormal data through the target subprocess to generate target abnormal data with a uniform format.
In some embodiments of the present application, an exception recovery protocol is predefined in the cloud server; when the repair policy information corresponding to the abnormal data sent by the cloud server is received, the processor 401 may execute: and receiving repair strategy information corresponding to the abnormal data sent by the cloud server according to the abnormal recovery protocol.
In some embodiments of the present application, an exception recovery protocol is predetermined in the terminal; when performing abnormal terminal repair according to the repair policy information, the processor 401 may perform: and according to the repairing strategy information, performing terminal abnormity repairing according to the abnormity repairing protocol.
It will be understood by those skilled in the art that all or part of the steps of the methods of the above embodiments may be performed by a computer program, which may be stored in a computer-readable storage medium and loaded and executed by a processor, or by related hardware controlled by the computer program.
To this end, the present application further provides a storage medium, in which a computer program is stored, where the computer program can be loaded by a processor to execute the steps in any one of the methods provided in the present application.
Wherein the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
Since the computer program stored in the storage medium can execute the steps in any method provided in the embodiments of the present application, the beneficial effects that can be achieved by the methods provided in the embodiments of the present application can be achieved, for details, see the foregoing embodiments, and are not described herein again.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It will be understood that the present application is not limited to the embodiments that have been described above and shown in the drawings, but that various modifications and changes can be made without departing from the scope thereof.
Claims (10)
1. A method for repairing terminal abnormity is characterized in that the method comprises the following steps:
receiving anomaly detection configuration information which is expected to be issued by a cloud server through a scene, wherein the anomaly detection configuration information comprises collection strategy information, detection scene information and an anomaly reporting strategy;
according to the collection strategy information, collecting abnormal data in a scene corresponding to the detection scene information;
when the collected abnormal data accords with the abnormal reporting strategy, uploading the abnormal data to the cloud server;
and receiving repair strategy information corresponding to the abnormal data sent by the cloud server, so as to repair the terminal abnormity according to the repair strategy information.
2. The method of claim 1, wherein uploading the exception data to the cloud server when the collected exception data complies with the exception reporting policy comprises:
saving the collected abnormal data to a target storage file;
and when the data volume in the target storage file is higher than the preset threshold value indicated by the abnormal reporting strategy, uploading the target storage file to the cloud server.
3. The method of claim 2, wherein saving the collected exception data to a target storage file comprises:
carrying out format conversion processing on the collected abnormal data to generate abnormal data with a uniform format;
and saving the abnormal data in the uniform format to the target storage file.
4. The method according to claim 1, wherein the terminal comprises a target host process for processing terminal traffic;
the collecting abnormal data in the scene corresponding to the detection scene information according to the collection strategy information includes:
and triggering the target main process to collect abnormal data according to the collection strategy information under the scene corresponding to the detection scene information.
5. The method according to claim 3, wherein the performing format conversion processing on the collected exception data to generate target exception data in a unified format includes:
starting a target subprocess after the abnormal data is collected;
and performing format conversion processing on the collected abnormal data through the target subprocess to generate target abnormal data with a uniform format.
6. The method of claim 1, wherein the cloud server is configured to pre-determine an exception recovery protocol;
the receiving of the repair policy information corresponding to the abnormal data issued by the cloud server includes:
and receiving repair strategy information corresponding to the abnormal data sent by the cloud server according to the abnormal recovery protocol.
7. The method according to claim 1, characterized in that an exception repair protocol is predetermined in the terminal; the performing of the abnormal terminal repair according to the repair policy information includes:
and according to the repairing strategy information, performing terminal abnormity repairing according to the abnormity repairing protocol.
8. An apparatus for repairing abnormality of a terminal, the apparatus comprising:
the system comprises a configuration receiving module, a configuration processing module and a configuration processing module, wherein the configuration receiving module is used for receiving abnormal detection configuration information sent by a cloud server, and the abnormal detection configuration information comprises collection strategy information, detection scene information and an abnormal reporting strategy;
the collection module is used for collecting abnormal data under the scene corresponding to the detection scene information according to the collection strategy information;
the uploading module is used for uploading the abnormal data to the cloud server when the collected abnormal data accords with the abnormal reporting strategy;
and the repairing module is used for receiving repairing strategy information corresponding to the abnormal data sent by the cloud server so as to repair the terminal abnormity according to the repairing strategy information.
9. A storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to carry out the method of any one of claims 1 to 7.
10. An electronic device, comprising: a memory storing a computer program; a processor reading a computer program stored in the memory to perform the method of any of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115334078A (en) * | 2022-08-10 | 2022-11-11 | 重庆电子工程职业学院 | Information processing method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115334078A (en) * | 2022-08-10 | 2022-11-11 | 重庆电子工程职业学院 | Information processing method and device |
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