CN107370612B - Network quality management system detection task scheduling method and device - Google Patents
Network quality management system detection task scheduling method and device Download PDFInfo
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Abstract
The invention provides a method and a device for scheduling detection tasks of a network quality management system, wherein the device for scheduling the detection tasks of the network quality management system acquires the detection tasks and also acquires state information corresponding to the detection tasks, wherein the state information comprises the current state of the detection tasks; the current state of each detection task can be identified according to the state information; and controlling the state of the detection task to enter a stop state from the non-stop state when the detection task in the non-stop state meets the stop condition. By adopting the scheme of the invention, the problems of human resource waste and low working efficiency caused by the fact that a large amount of time and energy are spent on workers to complete the switching of the detection task state in the prior art can be solved, and the effects of automatically switching the detection task state, saving human resources and improving the working efficiency are achieved.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for scheduling a detection task in a network quality management system.
Background
The PTN (Packet Transport Network) is a layer set between an IP (Internet Protocol) service and an underlying optical transmission medium, is designed for the burstiness of Packet service traffic and the requirement of statistical multiplexing transmission, uses Packet service as a core and supports multi-service provision, has lower overall use cost, and simultaneously takes the traditional advantages of optical transmission, including high availability and reliability, efficient bandwidth management mechanism and traffic engineering, convenient OAM (Operation Administration and Maintenance), scalability, higher security, and the like. Due to the obvious advantages of PNT, PTN networks are becoming larger and larger in application scale, and some problems are brought, such as the inability to know the traffic performance of the monitoring network, the inability to measure the quality of the pipeline, the difficulty in locating the fault end-to-end, and the like.
In order to solve the problems existing in the use of the PTN network, an SQM (supervisory quality management) system is proposed in the prior art, which can realize accurate monitoring and fault location on the performance of the PTN network through a hierarchical measurement system, and the core functions are online service quality real-time performance detection, service provisioning quality detection and fault rapid location.
The detection process realized by the SQM mainly comprises the steps of configuring detection tasks in advance, manually starting the detection tasks after the detection tasks are configured, and manually finishing the detection tasks. As a result, the worker needs to manually stop each inspection task, and may also spend time and effort focusing on the operation status of each inspection task. When actually detecting equipment, often can adopt a large amount of detection tasks to come to respectively wait to examine equipment and carry out some detections, like this, the staff just need waste a large amount of time and energy to accomplish and switch the detection task, and work efficiency is low, extravagant manpower resources.
Disclosure of Invention
The invention provides a method and a device for scheduling detection tasks of a network quality management system, and aims to solve the problems that in the prior art, an SQM system needs a great deal of time and energy spent by workers to complete switching detection task states, so that human resources are wasted, and the working efficiency is low.
In order to solve the above technical problem, the present invention provides a method for scheduling detection tasks of a network quality management system, comprising:
acquiring state information corresponding to a detection task, wherein the state information is used for representing the current state of the detection task;
and controlling the state of the detection task to enter a stop state from the non-stop state when the detection task in the non-stop state meets the stop condition.
In an embodiment of the present invention, the controlling the state of the detection task from the non-stop state to the stop state includes:
under the condition that the non-stop state is a to-be-started state, controlling the state of the detection task to enter a stop state from the to-be-started state;
under the condition that the non-stop state is the started state, controlling the state of the detection task to enter the stop state from the started state;
and under the condition that the non-stop state is a to-be-stopped state, controlling the state of the detection task to enter a stop state from the to-be-stopped state.
In an embodiment of the present invention, the controlling the state of the detection task from the state to be started to the stop state includes: controlling the state of the detection task to be switched from a state to be started to a state to be started, then switching to a state to be stopped, and entering a stopped state;
the state of controlling the detection task to enter a stop state from an opened state comprises the following steps: and controlling the state of the detection task to be switched from the started state to a state to be stopped, and entering the stopped state.
In an embodiment of the present invention, before the state of controlling the detection task enters the stop state from the non-stop state, the method further includes:
the step of controlling the state of the detection task to enter a stop state from a state to be started comprises the following steps: acquiring the starting time of the detection task, judging whether the starting time is reached, if so, starting the detection task, and switching the state of the detection task to the started state; acquiring the end time of the detection task in the started state, judging whether the end time is reached, and if so, switching the state of the detection task from the started state to a state to be stopped; stopping the detection task which enters the to-be-stopped state, and controlling the state of the detection task to enter the stopped state;
the state of controlling the detection task to enter a stop state from an opened state comprises the following steps: acquiring the end time of the detection task, judging whether the end time is reached, if so, entering a to-be-stopped state by the detection task, and switching the state of the detection task from an opened state to a to-be-stopped state; stopping the detection task which enters the state to be stopped, and switching the state of the detection task from the state to be stopped to a stopped state;
the step of controlling the state of the detection task to enter a stop state from a to-be-stopped state comprises the following steps: and stopping the detection task, and controlling the state of the detection task to enter a stop state.
In one embodiment of the invention, the detection task comprises at least one measurement instance;
under the condition that the non-stop state is a to-be-started state, stopping the detection task which enters the to-be-stopped state comprises the following steps: inquiring a measurement example corresponding to the detection task, and stopping the measurement example;
when the non-stop state is an opened state, stopping the detection task that has entered the to-be-stopped state includes: inquiring a measurement example corresponding to the detection task, and stopping the measurement example;
when the non-stop state is a to-be-stopped state, stopping the state detection task includes: and inquiring a measurement example corresponding to the detection task, and stopping the measurement example.
In an embodiment of the present invention, before the state of controlling the detection task enters the stop state from the non-stop state, the method further includes:
the method comprises the steps of obtaining a measurement example corresponding to a detection task in an opening state and a reflector corresponding to the measurement example, sending the measurement example and the reflector corresponding to the measurement example to equipment to be detected through a direct acquisition platform, and sending a control instruction aiming at the measurement example and the reflector corresponding to the measurement example to the direct acquisition platform, wherein the direct acquisition platform is used for detecting the equipment to be detected according to the measurement example, the reflector corresponding to the measurement example and the control instruction;
and receiving a detection result of the direct sampling platform on the control instruction, and storing the measurement example, the reflector corresponding to the measurement example and the corresponding detection result.
In an embodiment of the present invention, before acquiring a measurement instance corresponding to a detection task in an on state and a reflector corresponding to the measurement instance, the method further includes:
judging whether a corresponding reflector exists in the measurement example of the detection task, and if not, creating the reflector for the measurement example; and if the reflector corresponding to the measurement example is normal, judging whether the reflector corresponding to the measurement example is normal, and if not, reestablishing the reflector for the measurement example.
The invention also provides a network quality management system detection task scheduling device, which is characterized by comprising the following steps:
an acquisition module: the system comprises a task processing module, a task scheduling module and a task scheduling module, wherein the task processing module is used for acquiring each detection task and acquiring state information corresponding to each detection task, and the state information is used for representing the current state of each detection task;
a processing module: and the control unit is used for controlling the state of the detection task to enter a stop state from the non-stop state when the detection task in the non-stop state meets the stop condition.
In one embodiment of the invention, the processing module comprises:
a to-be-started state processing module: the device is used for controlling the state of the detection task to enter a stop state from a to-be-started state under the condition that the non-stop state is the to-be-started state;
a turned-on state processing module: the state of the detection task is controlled to enter a stop state from an opened state under the condition that the non-stop state is the opened state;
a to-be-stopped state processing module: and the controller is used for controlling the state of the detection task to enter a stop state from the state to be stopped under the condition that the non-stop state is the state to be stopped.
In one embodiment of the invention, the detection task comprises at least one measurement instance;
the to-be-started state processing submodule comprises a first submodule and a second submodule, wherein the first submodule is used for controlling the state of the detection task to be switched from the to-be-started state to the started state, then to be switched to the to-be-stopped state and to enter the stopped state;
the started state processing submodule comprises a second submodule and is used for controlling the state of the detection task to be switched from the started state to a state to be stopped and to enter a stopped state.
In an embodiment of the present invention, the first sub-module includes a first processing unit, configured to obtain an opening time of the detection task, and determine whether the opening time is reached, if so, open the detection task, and switch a state of the detection task to an opened state; acquiring the end time of the detection task in the started state, judging whether the end time is reached, and if so, switching the state of the detection task from the started state to a state to be stopped; stopping the detection task which enters the to-be-stopped state, and controlling the state of the detection task to enter the stopped state;
the second sub-module comprises a second processing unit, which is used for acquiring the end time of the detection task, judging whether the end time is reached, if so, the detection task enters a state to be stopped, and switching the state of the detection task from an opened state to a state to be stopped; stopping the detection task which enters the state to be stopped, and switching the state of the detection task from the state to be stopped to a stopped state;
the to-be-stopped state processing module comprises a third processing unit and is used for stopping the detection task and controlling the state of the detection task to enter a stopped state.
In one embodiment of the invention, the detection task comprises at least one measurement instance;
the first processing unit comprises a first stopping subunit, configured to, when the non-stop state is a to-be-started state, query a measurement instance corresponding to the detection task, and stop the measurement instance;
the second processing unit comprises a second stopping subunit, configured to, when the non-stopping state is the started state, query a measurement instance corresponding to the detection task, and stop the measurement instance;
the third processing unit comprises a third stopping subunit, configured to, when the non-stop state is a to-be-stopped state, query a measurement instance corresponding to the detection task, and stop the measurement instance.
In one embodiment of the present invention, the method further comprises: the information processing module is used for acquiring a measurement example corresponding to the detection task in an open state and a reflector corresponding to the measurement example before the state of controlling the detection task enters a stop state from a non-stop state, sending the measurement example and the reflector corresponding to the measurement example to equipment to be detected through a direct acquisition platform, and sending a control instruction aiming at the measurement example and the reflector corresponding to the measurement example to the direct acquisition platform, wherein the direct acquisition platform is used for detecting the equipment to be detected according to the measurement example, the reflector corresponding to the measurement example and the control instruction; and receiving a detection result of the direct sampling platform on the control instruction, and storing the measurement example, the reflector corresponding to the measurement example and the corresponding detection result.
In one embodiment of the present invention, the method further comprises: the judging and processing module is used for judging whether the measuring example of the detection task has a corresponding reflector before acquiring the measuring example corresponding to the detection task in the starting state and the reflector corresponding to the measuring example, and if not, establishing the reflector for the measuring example; and if the reflector corresponding to the measurement example is normal, judging whether the reflector corresponding to the measurement example is normal, and if not, reestablishing the reflector for the measurement example.
The invention has the beneficial effects that: the invention provides a method and a device for scheduling detection tasks of a network quality management system, wherein the device for scheduling the detection tasks of the network quality management system acquires the detection tasks and also acquires state information corresponding to the detection tasks, wherein the state information comprises the current state of the detection tasks; the current state of each detection task can be identified according to the state information; and controlling the state of the detection task to enter a stop state from the non-stop state when the detection task in the non-stop state meets the stop condition. By adopting the scheme of the invention, when the detection tasks in the non-stop state meet the stop condition, the detection tasks are directly controlled to enter the stop state from the non-stop state, and the process does not need workers to monitor the states of the detection tasks and manually switch the working states; corresponding state processing is directly carried out according to the recognized state, the state of the detection task is controlled to enter a stop state, and the problems that in the prior art, due to the fact that workers spend a large amount of time and energy to complete switching of the detection task state, human resources are wasted, and working efficiency is low are solved, and the effects that the detection task state is automatically switched, the human resources are saved, and working efficiency is improved are achieved.
Drawings
Fig. 1 is a flowchart of a method for scheduling a detection task in a network quality management system according to a first embodiment of the present invention;
fig. 2 is a flowchart illustrating a process of entering a to-be-stopped state by a detection task in an activated state according to a first embodiment of the present invention;
fig. 3 is a flowchart illustrating a process of entering a to-be-stopped state by a detection task in a to-be-started state according to a first embodiment of the present invention;
fig. 4 is a flowchart illustrating a process of entering a stop state by a detection task in a to-be-started state according to a first embodiment of the present invention;
FIG. 5 is a flowchart illustrating a process of executing a detection task in an open state according to an embodiment of the present invention;
FIG. 6 is a flowchart illustrating an interaction between an SQM platform and a direct sampling platform to complete detection according to a first embodiment of the present invention;
FIG. 7 is a flowchart of a measurement instance issuing method according to a first embodiment of the present invention;
fig. 8 is a schematic structural diagram of a set-top box and an intelligent bracelet according to a second embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to the following detailed description and accompanying drawings.
The first embodiment is as follows:
the present embodiment provides a method for scheduling detection tasks of a network quality management system, please refer to fig. 1, where the method includes:
s101: acquiring each detection task and acquiring state information corresponding to each detection task;
s102: and controlling the state of the detection task to enter a stop state from the non-stop state when the detection task in the non-stop state meets the stop condition.
In the SQM system, the present invention mainly processes some scheduling processes of detection tasks, including switching states of the detection tasks, so that step S101 is usually executed to obtain each detection task and also obtain state information corresponding to the detection task, where the state information includes a current state of each detection task. The inspection tasks are typically configured by personnel who typically save the inspection tasks into a database after configuration. The status of each subsequent detection task may be changed and updated in the database. In the database, the detection tasks are usually stored in a detection task table, and as a plurality of task detection tables may be stored in the database, the detection tasks may be stored according to the state information or according to the creation sequence; however, the detection task and the state information of the detection task are stored in any storage mode, and the corresponding relation between the detection task and the state information can be clarified. For example, the following storage mode may be adopted, and for different states, there are corresponding detection task tables respectively; for example, if the state information of one table is stop, the states of the detection tasks in the corresponding table are all stop states; the other states are similar. The detection tasks may be sequentially stored in the database according to the configuration time of the detection tasks, and the content included in the state information is the current state of the detection task. The above examples are only for illustrating the scheme of the present invention and do not limit the scheme of the present invention in any way.
The state information of the detection task obtained may be the current state of the detection task identified according to the state information, or the state information may not be directly stored in an identifiable manner, for example, a certain character may correspond to a corresponding state (for example, 00 may be used to represent a stop state), at this time, the current state of each detection task is identified according to the state information, and only the corresponding character needs to be converted into the corresponding state. The detection task is a task that is executed by a computer, and the detection task is executed by a computer.
Then, step 102 is executed to control the state of the detection task to be in the non-stop state to enter the stop state from the non-stop state when the detection task in the non-stop state is in the stop condition. In this embodiment, detecting the state of the task may include: a ready to start state, a started state, a ready to stop state, and a stop state. The "turned on state" indicates that the detection task is being executed; the state to be stopped indicates that the detection task is executed completely, the detection task needs to be stopped, but the detection task is not stopped temporarily; the stop state is to say that the detection task is stopped; the to-be-turned-on state indicates that the detection task has not been turned on yet but needs to be turned on. For a detection task in a state to be started or a started state, the stopping conditions are as follows: detecting that the task enters a state to be stopped; automatically switching the detection task from the non-stop state to the stop state comprises: stopping the detection task which enters the state to be stopped, and switching the state of the detection task from the state to be stopped to the stopped state.
In this embodiment, a plurality of measurement instances and reflectors corresponding to the measurement instances may be set under one detection task according to the type of the detection task, instead of having to correspond one measurement instance to one detection task in the prior art, so that under the condition of having the same number of measurement instances, the number of detection tasks may be reduced, which facilitates management of the measurement instances on the one hand, and on the other hand, the number of times of switching the detection tasks may be reduced, so as to avoid performing one detection task state switching upon completing one measurement instance. For the classification criteria, classification may be performed according to the specific action type of the detection task, for example, if a detection task is set to perform voice detection, and three measurement instances for detecting the voice aspect are set at the same time, then the three measurement instances for detecting the voice aspect may be added to the detection task for voice detection. Of course, the measurement examples of the same type can be flexibly classified according to specific requirements, and the measurement examples of the same type are added into the same detection task.
The detection task in the started state enters a stop state and enters a to-be-stopped state first. The process comprises the following steps: acquiring the end time of the detection task, judging whether the end time is reached according to a timer, and when the end time is reached, enabling the detection task to enter a state to be stopped; and switching the state of the detection task from the started state to the state to be stopped. Specifically, how to switch the state of the detection task to the state to be stopped when the detection task reaches the end time is implemented, this embodiment provides a specific scheme, please refer to fig. 2, which includes:
s201: acquiring a detection task in an opened state;
s202: acquiring the end time of the detection task;
s203: judging whether the detection task has a timer or not, if so, executing a step S204, otherwise, executing a step S206;
s204: judging whether the end time of the detection task is reached, if so, executing the step S205, otherwise, repeatedly executing the step S204;
s205: switching the state of the detection task to be a state to be stopped;
s206: a timer is created for the detection task and step S204 is performed.
In the solution of this embodiment, a timer is created when the detection task is started, and the timer is used to time the detection task, and the timer is used to determine whether the end time is reached. It is of course also possible that some detection tasks have been started, but no timer has been set, for which detection tasks a corresponding timer needs to be created. When the end time of the timer is reached, it is proved that the detection task can be stopped, but the execution of the stop often needs a process, and there may be a plurality of detection tasks that need to be stopped, so the state of the detection tasks that need to be stopped is switched to the state to be stopped, and it is proved that the detection tasks do not need to be executed any more, and the actions of stopping are needed to be executed. For setting the specific time of the timer, the set time lengths may be different for different detection tasks, and the time lengths can be flexibly set according to requirements.
The method comprises the steps that for a detection task in a to-be-started state to enter a stopped state, the detection task firstly enters a started state; the process comprises the following steps: acquiring the starting time of a detection task, automatically starting the detection task when the starting time is up according to the judgment of a timer, and switching the state to the started state; after the detection task is switched to the started state, the detection task is the task in the started state, and the process of entering the to-be-stopped state is the same as the process of directly entering the to-be-stopped state by the detection task in the started state. In the following, how the detection task in the standby state is switched to the activated state will be specifically described, referring to fig. 3, including:
s301: acquiring a detection task in a state to be started;
s302: acquiring the starting time corresponding to the detection task;
s303: judging whether the detection task reaches the start time, if so, executing the step S304, otherwise, repeatedly executing the step S303;
s304: and starting the detection task, and switching the state of the detection task to a stop state.
The detection task in the state to be started can firstly acquire the starting time of the detection task, whether the starting time is reached or not is judged according to the timer, when the starting time is reached, the detection task is automatically started, and the state of the detection task is switched to the started state. After the switching to the started state, the execution process is the same as the process in fig. 2, the switching to the to-be-stopped state may be performed, the detection task is stopped after the to-be-stopped state is entered, and the switching to the stopped state may be performed after the detection task is stopped.
As to how to specifically implement stopping the detection task, the present embodiment provides a specific solution for switching the state of the detection task from the state to be stopped to the stopped state, please refer to fig. 4, which includes:
s401: acquiring a detection task in a state to be stopped;
s402: acquiring a measurement example corresponding to the detection task;
s403: judging whether the state of the measurement example is stopped, if so, executing a step S405, otherwise, executing a step S404;
s404: stopping the measurement instances that are not stopped, and performing step S405;
s405: and when all the measurement instances are stopped, switching the state of the detection task to a stop state.
Because the detection is really finished and is mainly realized by depending on the measurement example, the detection stopping task is actually mainly stopped by the measurement example corresponding to the detection task, and as already mentioned above, firstly, the measurement task needing to be stopped is in a state to be stopped; secondly, one detection task may correspond to one or more measurement instances. Therefore, in this embodiment, the detection task in the state to be stopped is obtained at the obtaining position, and the measurement instances corresponding to the detection task are also obtained, where the measurement instances are usually all the measurement instances corresponding to the detection task; then judging the state of the measurement examples to see whether the measurement examples are stopped or not, if so, not needing to do any treatment on the measurement examples, and if not, firstly stopping the measurement examples which are not stopped; when the measurement instances corresponding to the detection task are all in the stopped state, the detection task can be switched from the state to be stopped to the stopped state.
Since the system is intended to detect some performance tasks and the like of the device to be detected, what is mainly needed to be completed by the detection task in the on state is also to perform detection, and for the specific detection process, reference may be made to fig. 5, including:
s501: acquiring a detection task in an open state;
s502: acquiring a measurement example corresponding to the detection task;
s503: judging whether the measurement instance is being issued or will be issued, if so, entering step S505; otherwise, executing step S504;
s505: issuing the measurement example to a direct mining platform, and entering step S504;
s504: and when all the measurement examples are completely issued, ending the process.
The specific execution process of the detection task involves an SQM platform, a direct sampling platform and a device to be detected. The SQM platform and the direct mining platform may be arranged on the same hardware device, may be arranged on different devices, and may be arranged on the same system. The SQM platform generally generates detection tasks, measurement examples, reflectors corresponding to the measurement examples and the like according to the configuration of a user, and completes the overall global control of detection; the generated detection tasks may not be executed immediately, and may be stored in a database and retrieved when needed. The direct sampling platform is generally used for interacting with equipment to be detected and completing detection on the equipment to be detected by utilizing a measurement example or a reflector corresponding to the measurement example; the device to be detected is obviously the device to be detected, and the detection of the device to be detected comprises the detection of the performance, the function and the like of the device. The content of the measurement example and the reflector may be detection for a certain function of the device to be detected, for example, the measurement example a and the reflector a corresponding to the measurement example a may be suitable for detecting whether the voice function of the device to be detected can be normally executed, and the direct acquisition platform interacts with the device to be detected according to the information configured in the measurement example a and the reflector a to obtain a detection result. The reflector is mainly used for matching with a measurement example to complete detection. Please refer to fig. 6 for the interaction process of the SQM platform and the direct mining platform, which includes:
s601: the SQM platform issues a measurement example and a reflector corresponding to the measurement example to the direct mining platform;
s602: the direct mining platform receives the measurement examples and reflectors corresponding to the measurement examples;
s603: the SQM platform sends a control instruction aiming at the measurement example to the direct production platform;
s604: the direct mining platform receives the control instruction and executes the control instruction;
s605: feeding back the detection result to the SQM platform;
s606: and the SQM platform receives the detection result and stores the detection result, the corresponding measurement example and the reflector.
In one embodiment of this embodiment, the measurement instances and reflectors are present in pairs, and the reflectors perform detection in cooperation with the measurement instances, that is, one detection task corresponds to one or more measurement instances, each having a reflector corresponding thereto. Therefore, the reflector corresponding to the measurement example is issued when the measurement example is issued, and the reflector corresponding to the measurement example needs to be checked before the measurement example is issued. Therefore, before acquiring the measurement instance corresponding to the detection task in the on state and the reflector corresponding to the measurement instance, whether the measurement instance of the detection task has the corresponding reflector is also judged, and if not, the reflector is created for the measurement instance; if the reflector exists, judging whether the reflector corresponding to the measurement example is normal, and if the reflector corresponding to the measurement example is not normal, recreating the reflector for the measurement example.
The specific matter needed by the detection task in the started state is that all measurement examples corresponding to the detection task are issued to the direct mining platform, and a control command is also issued to the direct mining platform, wherein the control command usually comprises an example starting command, an example stopping command and the like; the instance starting command is that the SQM platform needs to directly adopt the platform to start executing the measurement instance; the direct-sampling platform starts to execute the measurement example after receiving the control command, and feeds back a detection result to the SQM platform no matter the direct-sampling platform is started successfully or is started unsuccessfully; in addition, for the situation that the control instruction is to start the measurement example, after the measurement example is started by the direct sampling platform, interaction will be performed between the direct sampling platform and the device to be detected, the detection of the device to be detected is completed by using the reflectors corresponding to the measurement example and the measurement example, and the detection result is usually obtained according to the configuration condition of the reflectors. Therefore, for the situation that the control instruction is to start the measurement example, the direct acquisition platform returns a reflector message to the SQM platform, and the detection condition of the device to be detected can be known according to the state message in the reflector; when the reflector is configured, the state of the reflector is normal, and if the reflector is not configured, the state of the reflector is invalid. In addition, the control instruction may also be a stop instruction, which is to stop the measurement instance in the open state, and after the stopping instruction is received by the acquisition platform, the acquisition platform executes an action of stopping the corresponding measurement instance, and the stopping result is returned to the SQM platform regardless of success or failure of stopping. After receiving the information data fed back by the direct acquisition platform, the SQM platform stores the corresponding measurement examples or reflectors and the corresponding detection results. The SQM platform sends a control instruction for stopping the measurement instance A to the direct sampling platform, the direct sampling platform stops the measurement instance A after receiving the control instruction, the measurement instance A stops successfully, the direct sampling platform sends a message that the measurement instance A stops successfully to the SQM platform, the SQM platform knows that the measurement instance A stops successfully after receiving the message, and then stops successfully storing the measurement instance A and a corresponding detection result, and can know that the current state of the measurement instance A is a stop state when inquiring the measurement instance A. When each measurement instance and the corresponding detection result are saved, an updating mode is usually adopted, that is, the measurement instance a may be stopped for multiple times, and the saving is performed in a mode of covering the previous time after the previous time. Of course, the information can be stored for a plurality of times, and the information is identified according to the storage time when being inquired. Obviously, the former storage mode is more convenient and saves space.
For the process of sending the measurement instance and the corresponding reflector to the direct mining platform by the SQM platform, see fig. 7, including:
s701: acquiring a measurement example;
s702: judging whether a reflector corresponding to the measurement example exists, if so, executing step S703; otherwise, go to step S708;
s703: judging whether the number of times of measurement example issuing failure reaches a preset number, if so, executing step S704; otherwise, go to step S709;
s704: constructing a measurement example and a reflector issuing object;
s705: issuing the issued object to a direct mining platform;
s706: judging whether the transmission is successful, if so, entering a step S707; otherwise, go to step S709;
s707: the measurement example is successfully issued;
s708: creating and configuring a corresponding reflector, and executing step S703;
s709: the measurement instance fails to issue.
In the process of steps S701 to S709, it is mainly necessary to determine whether the measurement instance already has a corresponding reflector, if so, the measurement instance and the corresponding reflector may be directly configured as an issuing object to be sent, and if not, the corresponding reflector needs to be created. The reason why the issued object needs to be constructed here is that the measurement examples and the reflectors are specific to the specific device to be tested, different devices to be tested may need different detection formats, and therefore the measurement examples and the reflectors need to be constructed into formats corresponding to the devices to be tested. In addition, before issuing, whether the number of times of failure before reaches the preset number of times is judged, and the issuing is carried out on the premise that the preset number of times is not reached; therefore, the problem that the issuing is carried out all the time and occupies resources due to multiple failures caused by certain errors can be prevented. The preset times can be flexibly set according to specific conditions, and can be set for 10 times, 15 times and 20 times.
In one embodiment of the invention, the detection task that has stopped is determined to see if it needs cleaning and if so, a cleaning step is performed on it. And deleting all reflectors under the detection task, deleting all measurement examples, and finally deleting the whole detection task. For a specific detection task, if it needs to be deleted after the execution is completed and the stop state is entered, it can be flexibly selected according to specific requirements during configuration. In order to facilitate the reuse of the detection task, in a specific embodiment, it may be further configured to switch the detection task that is already in the stop state to a state to be started. For example, when configuring the detection task, it is possible to set the monitoring task a to be periodically executed, and not only configure the start time of the detection task a, but also set the execution period, for example, set the start time of the detection task a to be 10:00, the end time to be 10:05, and the execution period to be 24 hours; if the detection task A is just created and the configuration stage is completed, then the detection task A is known to be in a state to be started, and the detection task is required to be started at 10:00 and switched to a started state; when the state reaches 10:00, the detection task is switched from the started state to the to-be-stopped state, and after the detection task enters the to-be-stopped state, only the detection task needs to be stopped, mainly comprising stopping the corresponding measurement instance, and then switching the state from the to-be-stopped state to the stopped state. Of course, when the coal mining platform is in the opened state, the interaction process with the direct mining platform as described in fig. 6 and 7 needs to be completed. Therefore, even if a detection process is finished, the arrival of the next execution period is waited, and since the execution period set here is 24 hours, the steps are repeatedly executed after 24 hours, and the automatic detection is finished. For this case, it may also be set in advance that several fixed cycles need to be performed and then task deletion is performed.
By adopting the method for scheduling the detection tasks of the network quality management system in the embodiment, the detection and switching of the detection task states can be executed without manual operation, so that the waste of human resources is reduced; secondly, one or more measurement examples are set in one detection task, so that the switching of the states of the detection tasks is reduced, and the efficiency is improved; in addition, the stopped detection tasks can be repeatedly executed, manual operation is not needed in the process, management is convenient, and resources are saved.
Example two:
referring to fig. 8, the apparatus for scheduling detection tasks in a network quality management system according to the present embodiment mainly includes: an acquisition module 81 and a processing module 82. The obtaining module 81 is configured to obtain each detection task and corresponding state information, where the state information is information used to represent a current state of each detection task; the processing module 82 is configured to control the state of the detection task to enter the stop state from the non-stop state if the detection task in the non-stop state satisfies the stop condition. The inspection tasks are typically configured by personnel who typically save the inspection tasks into a database after configuration. The status of each subsequent detection task may be changed and updated in the database.
The processing module 82 includes a to-be-turned-on state processing module 821, a turned-on state processing module 822, and a to-be-stopped state processing module 823. The to-be-started state processing module 821 is configured to, when the non-stop state is the to-be-started state, control the state of the detection task to enter the stop state from the to-be-started state. The activated state processing module 822 is configured to control the state of the detection task to enter the activated state from the activated state if the non-activated state is the activated state. The to-be-stopped state processing module 823 is configured to, when the non-stopped state is the to-be-stopped state, control the state of the detection task to enter the stopped state from the to-be-stopped state.
The detection task comprises at least one measurement instance; the to-be-opened state processing module 821 includes a first sub-module 8211, configured to control a state of the detection task to be switched from the to-be-opened state to the opened state, then to be switched to the to-be-stopped state, and then to enter the stopped state. The opened state processing module 822 includes a second sub-module 8221 for controlling the state of the detection task to be switched from the opened state to the to-be-stopped state, and then to enter the stopped state.
The first sub-module 8211 includes a first processing unit 82111, configured to obtain an opening time of the detection task, determine whether the opening time is reached, if so, open the detection task, and switch the state of the detection task to an opened state; acquiring the end time of the detection task in the started state, judging whether the end time is reached, and if so, switching the state of the detection task from the started state to a state to be stopped; and stopping the detection task which enters the state to be stopped, and controlling the state of the detection task to enter the stop state.
The second sub-module 8221 includes a second processing unit 82211, configured to obtain an end time of the detection task, determine whether the end time is reached, if so, the detection task enters a to-be-stopped state, and switch the state of the detection task from an opened state to a to-be-stopped state; stopping the detection task which enters the state to be stopped, and switching the state of the detection task from the state to be stopped to a stopped state; the to-be-stopped state processing module 823 includes a third processing unit 8231 for stopping the detection task and controlling the state of the detection task to enter a stopped state.
The first processing unit 82111 includes a first stopping subunit 821111, configured to query a measurement instance corresponding to the detection task and stop the measurement instance if the non-stopped state is the to-be-started state. The second processing unit 82211 comprises a second stopping sub-unit 821111, configured to, when the non-stop state is the opened state, query the measurement instance corresponding to the detection task and stop the measurement instance. The third processing unit 8231 includes a third stopping sub-unit 82311, configured to query a measurement instance corresponding to the detection task and stop the measurement instance when the non-stop state is the to-be-stopped state.
In an embodiment of the present invention, the device for scheduling the detection task of the network quality management system further includes an information processing module 83, configured to, before controlling the state of the detection task to enter a stop state from a non-stop state, obtain a measurement instance corresponding to the detection task in an on state and a reflector corresponding to the volume instance, send the measurement instance and the reflector corresponding to the volume instance to the direct acquisition platform, send a control instruction for the measurement instance and the reflector corresponding to the volume instance to the direct acquisition platform, receive a detection result of the direct acquisition platform on the control instruction, and store the measurement instance, the reflector corresponding to the volume instance, and the corresponding detection result. The direct-collecting platform is generally used for interacting with equipment to be detected and detecting the equipment to be detected by utilizing a measurement example or a reflector corresponding to the measurement example; the device to be detected is obviously the device to be detected, and the detection of the device to be detected comprises the detection of the performance, the function and the like of the device.
In an embodiment of the present invention, the apparatus for scheduling a detection task in a network quality management system further includes a determining module 84, configured to determine whether a corresponding reflector exists in a measurement instance of the detection task before acquiring the measurement instance corresponding to the detection task in an on state and the reflector corresponding to the measurement instance, and if not, create a reflector for the measurement instance; if the reflector corresponding to the measurement example is normal, judging whether the reflector corresponding to the measurement example is normal, and if the reflector corresponding to the measurement example is abnormal, rebuilding the reflector for the measurement example.
It should be understood that the network quality management system detection task scheduling apparatus in this embodiment may be used to execute the network quality management system detection task scheduling method in the first embodiment. That is to say, for each step in the method for scheduling the network quality management system detection task in the foregoing embodiment, the network quality management system detection task scheduling device in this embodiment has corresponding modules to complete, although there may be no one in this embodiment. When the SQM testing platform is provided with the device for scheduling the detection task of the network quality management system, corresponding modules are also provided to complete each step of the method for scheduling the detection task of the network quality management system in the first embodiment.
By adopting the network quality management system detection task scheduling device in the embodiment, the detection task is completed, the detection and the switching of the detection task state can be performed without manual operation, one or more measurement examples are set in one detection task, and the device can be flexibly deployed with an SQM system and the like. The method has the advantages of low artificial participation rate and high execution efficiency.
It will be apparent to those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented in program code executable by a computing device, such that they may be stored on a storage medium (ROM/RAM, magnetic disk, optical disk) and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a more detailed description of the present invention that is presented in conjunction with specific embodiments, and the practice of the invention is not to be considered limited to those descriptions. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (14)
1. A method for scheduling detection tasks of a network quality management system is characterized by comprising the following steps:
acquiring state information corresponding to a detection task, wherein the state information is used for representing the current state of the detection task; the detection task comprises at least one measurement instance;
the method comprises the steps of obtaining a measurement example corresponding to a detection task in an opening state and a reflector corresponding to the measurement example, sending the measurement example and the reflector corresponding to the measurement example to equipment to be detected through a direct acquisition platform, and sending a control instruction aiming at the measurement example and the reflector corresponding to the measurement example to the direct acquisition platform, wherein the direct acquisition platform is used for detecting the equipment to be detected according to the measurement example, the reflector corresponding to the measurement example and the control instruction; receiving a detection result of the direct sampling platform on the control instruction;
and controlling the state of the detection task to enter a stop state from the non-stop state when the detection task in the non-stop state meets the stop condition.
2. The method as claimed in claim 1, wherein said controlling the state of the detection task from the non-stop state to the stop state comprises:
under the condition that the non-stop state is a to-be-started state, controlling the state of the detection task to enter a stop state from the to-be-started state;
under the condition that the non-stop state is the started state, controlling the state of the detection task to enter the stop state from the started state;
and under the condition that the non-stop state is a to-be-stopped state, controlling the state of the detection task to enter a stop state from the to-be-stopped state.
3. The method as claimed in claim 2, wherein said controlling the state of the detection task from the to-be-started state to the stopped state comprises: controlling the state of the detection task to be switched from a state to be started to a state to be started, then switching to a state to be stopped, and entering a stopped state;
the state of controlling the detection task to enter a stop state from an opened state comprises the following steps: and controlling the state of the detection task to be switched from the started state to a state to be stopped, and entering the stopped state.
4. The network quality management system inspection task scheduling method of claim 3,
the step of controlling the state of the detection task to enter a stop state from a state to be started comprises the following steps: acquiring the starting time of the detection task, judging whether the starting time is reached, if so, starting the detection task, and switching the state of the detection task to the started state; acquiring the end time of the detection task in the started state, judging whether the end time is reached, and if so, switching the state of the detection task from the started state to a state to be stopped; stopping the detection task which enters a to-be-stopped state, and controlling the state of the detection task to enter a stopped state;
the state of controlling the detection task to enter a stop state from an opened state comprises the following steps: acquiring the end time of the detection task, judging whether the end time is reached, if so, entering a to-be-stopped state by the detection task, and switching the state of the detection task from an opened state to a to-be-stopped state; stopping the detection task which enters the state to be stopped, and switching the state of the detection task from the state to be stopped to a stopped state;
the step of controlling the state of the detection task to enter a stop state from a to-be-stopped state comprises the following steps: and stopping the detection task, and controlling the state of the detection task to enter a stop state.
5. The network quality management system inspection task scheduling method of claim 4,
under the condition that the non-stop state is a to-be-started state, stopping the detection task which enters the to-be-stopped state comprises the following steps: inquiring a measurement example corresponding to the detection task, and stopping the measurement example;
when the non-stop state is an opened state, stopping the detection task that has entered the to-be-stopped state includes: inquiring a measurement example corresponding to the detection task, and stopping the measurement example;
when the non-stop state is a to-be-stopped state, stopping the state detection task includes: and inquiring a measurement example corresponding to the detection task, and stopping the measurement example.
6. The method for scheduling the detection task of the network quality management system according to claim 1, wherein before the state of controlling the detection task is changed from the non-stop state to the stop state, the method further comprises:
and saving the measurement example, the reflector corresponding to the measurement example and the corresponding detection result.
7. The method as claimed in claim 6, wherein before obtaining the measurement instance corresponding to the detection task in the on state and the reflector corresponding to the measurement instance, the method further comprises:
judging whether a corresponding reflector exists in the measurement example of the detection task, and if not, creating the reflector for the measurement example; and if the reflector corresponding to the measurement example is normal, judging whether the reflector corresponding to the measurement example is normal, and if not, reestablishing the reflector for the measurement example.
8. A network quality management system detection task scheduling device is characterized by comprising:
an acquisition module: the system comprises a task processing module, a task scheduling module and a task scheduling module, wherein the task processing module is used for acquiring each detection task and acquiring state information corresponding to each detection task, and the state information is used for representing the current state of each detection task; the detection task comprises at least one measurement instance;
an information processing module: the device comprises a direct acquisition platform, a measurement instance, a reflector and a control instruction, wherein the direct acquisition platform is used for acquiring the measurement instance corresponding to the detection task in an opening state and the reflector corresponding to the measurement instance before the state of controlling the detection task enters a stopping state from a non-stopping state, sending the measurement instance and the reflector corresponding to the measurement instance to equipment to be detected through the direct acquisition platform, and sending the control instruction aiming at the measurement instance and the reflector corresponding to the measurement instance to the direct acquisition platform, wherein the direct acquisition platform is used for detecting the equipment to be detected according to the measurement instance, the reflector corresponding to the measurement instance and the control instruction; receiving a detection result of the direct sampling platform on the control instruction;
a processing module: and the control unit is used for controlling the state of the detection task to enter a stop state from the non-stop state when the detection task in the non-stop state meets the stop condition.
9. The network quality management system inspection task scheduler of claim 8, wherein the processing module comprises:
a to-be-started state processing module: the device is used for controlling the state of the detection task to enter a stop state from a to-be-started state under the condition that the non-stop state is the to-be-started state;
a turned-on state processing module: the state of the detection task is controlled to enter a stop state from an opened state under the condition that the non-stop state is the opened state;
a to-be-stopped state processing module: and the controller is used for controlling the state of the detection task to enter a stop state from the state to be stopped under the condition that the non-stop state is the state to be stopped.
10. The network quality management system inspection task scheduler of claim 9,
the to-be-started state processing module comprises a first submodule and a second submodule, wherein the first submodule is used for controlling the state of the detection task to be switched from the to-be-started state to the started state, then to be switched to the to-be-stopped state and to enter the stopped state;
the started state processing module comprises a second submodule and is used for controlling the state of the detection task to be switched from the started state to a state to be stopped and to enter a stopped state.
11. The network quality management system inspection task scheduler of claim 10,
the first sub-module comprises a first processing unit, which is used for obtaining the starting time of the detection task, judging whether the starting time is reached, if so, starting the detection task, and switching the state of the detection task to the started state; acquiring the end time of the detection task in the started state, judging whether the end time is reached, and if so, switching the state of the detection task from the started state to a state to be stopped; stopping the detection task which enters a to-be-stopped state, and controlling the state of the detection task to enter a stopped state;
the second sub-module comprises a second processing unit, which is used for acquiring the end time of the detection task, judging whether the end time is reached, if so, the detection task enters a state to be stopped, and switching the state of the detection task from an opened state to a state to be stopped; stopping the detection task which enters the state to be stopped, and switching the state of the detection task from the state to be stopped to a stopped state;
the to-be-stopped state processing module comprises a third processing unit and is used for stopping the detection task and controlling the state of the detection task to enter a stopped state.
12. The network quality management system inspection task scheduler of claim 11,
the first processing unit comprises a first stopping subunit, configured to, when the non-stop state is a to-be-started state, query a measurement instance corresponding to the detection task, and stop the measurement instance;
the second processing unit comprises a second stopping subunit, configured to, when the non-stopping state is the started state, query a measurement instance corresponding to the detection task, and stop the measurement instance;
the third processing unit comprises a third stopping subunit, configured to, when the non-stop state is a to-be-stopped state, query a measurement instance corresponding to the detection task, and stop the measurement instance.
13. The network quality management system inspection task scheduler of claim 8, wherein the information processing module is further configured to store the measurement instance, a reflector corresponding to the measurement instance, and a corresponding inspection result.
14. The network quality management system inspection task scheduler of claim 13, further comprising: the judging and processing module is used for judging whether the measuring example of the detection task has a corresponding reflector before acquiring the measuring example corresponding to the detection task in the starting state and the reflector corresponding to the measuring example, and if not, establishing the reflector for the measuring example; and if the reflector corresponding to the measurement example is normal, judging whether the reflector corresponding to the measurement example is normal, and if not, reestablishing the reflector for the measurement example.
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