CN115766453A - Alarm system configuration method, device, equipment, medium and product - Google Patents
Alarm system configuration method, device, equipment, medium and product Download PDFInfo
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Abstract
The application provides an alarm system configuration method, device, equipment, medium and product. The method comprises the following steps: in response to a system configuration request for an alarm system, obtaining a parameter set for the alarm system, the parameter set comprising a plurality of configuration parameters for the alarm system; determining a plurality of equipment states corresponding to the parameter set and a parameter combination corresponding to each equipment state, and selecting a target equipment state meeting equipment operation conditions according to operation data corresponding to the equipment states respectively so as to obtain a parameter combination related to the target equipment state; and performing parameter configuration on the alarm system according to the parameter values of the configuration parameters in the target parameter combination. The scoring of each parameter combination corresponding to the parameter set of the alarm system is accurately selected, and the alarm system is accurately configured.
Description
Technical Field
The present application relates to the field of distributed technologies in computer technologies, and in particular, to a method, an apparatus, a device, a medium, and a product for configuring an alarm system.
Background
With the rapid development of computer technology, various data processing functions can be configured on the electronic device, and in order to realize the normal operation of the data processing functions, an alarm system needs to be set to alarm the data processing functions of the electronic device in real time. For example, a bank system may set up a distributed alarm system to enable early warning of electronic devices. A relatively common alarm system may be, for example, a distributed alarm system built by a framework such as Flink, spark, or the like. However, when the alarm system normally operates, a plurality of parameters, such as parallelism, task management tool/task manager memory, and the number of task managers, need to be set, and when the values of the parameters are different, the operation of the alarm system can be significantly affected, so how to select accurate values for the parameters of the alarm system is a technical problem to be solved at present.
Disclosure of Invention
The application provides an alarm system configuration method, device, equipment, medium and product, which are used for solving the technical problem that parameters selected for an alarm system cannot ensure that the alarm system accurately operates in real time, so that the alarm system is prone to crash.
In one aspect, the present application provides an alarm system configuration method, including:
in response to a system configuration request for an alarm system, obtaining a parameter set for the alarm system, the parameter set comprising a plurality of configuration parameters for the alarm system;
determining a plurality of equipment states corresponding to the parameter set and a parameter combination corresponding to each equipment state, wherein the parameter combination comprises parameter values corresponding to the plurality of configuration parameters respectively, and the equipment state comprises operation data generated when the alarm system operates on the electronic equipment by the corresponding parameter combination;
selecting a target equipment state meeting equipment operation conditions according to operation data corresponding to the equipment states respectively so as to obtain parameter combinations related to the target equipment state to form target parameter combinations;
and performing parameter configuration on the alarm system according to the parameter values of the configuration parameters in the target parameter combination.
In another aspect, an alarm system configuration apparatus is provided, including:
the alarm system comprises a response unit, a processing unit and a processing unit, wherein the response unit is used for responding to a system configuration request of an alarm system and acquiring a parameter set of the alarm system, and the parameter set comprises a plurality of configuration parameters of the alarm system;
the determining unit is used for determining a plurality of equipment states corresponding to the parameter set and a parameter combination corresponding to each equipment state, wherein the parameter combination comprises parameter values corresponding to the plurality of configuration parameters respectively, and the equipment state comprises operation data generated when the alarm system operates in an electronic device by using the corresponding parameter combination;
the selection unit is used for selecting the target equipment state meeting the equipment operation condition according to the operation data respectively corresponding to the equipment states so as to obtain the parameter combination related to the target equipment state;
and the configuration unit is used for carrying out parameter configuration on the alarm system according to the parameter values of the configuration parameters in the target parameter combination.
In another aspect, an electronic device is provided, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the first aspect and its various possible methods.
In another aspect, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform the first aspect and its various possible methods.
In another aspect, a computer program product is provided, comprising a computer program which, when executed by a processor, carries out the first aspect and the various possible method steps of the first aspect.
According to the technical scheme, the parameter set of the alarm system can be obtained in response to the system configuration request of the alarm system, the parameter set can comprise a plurality of configuration parameters of the alarm system, a plurality of equipment states corresponding to the parameter set and parameter combinations corresponding to the equipment states are determined, each parameter combination can comprise parameter values corresponding to the configuration parameters, and parameter setting and obtaining of the alarm system are achieved. The device state includes the operating data generated by the alarm system in the operation of the electronic device with the corresponding parameter combination, that is, the device state can be embodied by the data of the specific operating condition of the device. And selecting the target equipment state meeting the equipment operation conditions according to the operation data respectively corresponding to the equipment states to obtain the parameter combination related to the target equipment state, so as to realize the accurate selection of the parameter combination by taking the parameter combination as the selection reference of the parameter combination, and further performing parameter configuration on the alarm system according to the parameter value of each configuration parameter in the target parameter combination, thereby realizing the efficient and accurate parameter configuration of the alarm system, improving the configuration efficiency and accuracy, ensuring that the configured alarm system can meet the equipment operation conditions, saving the energy of the system and ensuring the stable operation of the system.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is an exemplary diagram of an application scenario of an alarm system configuration method according to an embodiment of the present application;
FIG. 2 is a flowchart of an alarm system configuration method according to an embodiment of the present disclosure;
FIG. 3 is a flowchart of a method for configuring an alarm system according to an embodiment of the present application;
FIG. 4 is a diagram illustrating an exemplary configuration of an alarm system according to an embodiment of the present disclosure;
FIG. 5 is a schematic structural diagram of an alarm system configuration apparatus according to an embodiment of the present application;
fig. 6 is a block diagram of an electronic device for implementing an alarm system configuration method according to an embodiment of the present application.
With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The technical scheme of the application can be applied to a parameter tuning scene of the alarm system, and by performing parameter combination on each configuration parameter of the alarm system, evaluating the use effect of each parameter combination, and then selecting the target parameter combination by using the evaluation score of each parameter combination, the use effect of the target parameter combination in the alarm system is adaptively selected, and the selection efficiency and accuracy of the target parameter combination are improved.
At present, an alarm system is generally a software system built on the basis of various distributed frameworks, and the distributed frameworks may include a Flink framework, a Spark framework, and the like. Flink excels in long stream processing and Spark excels in batch processing. In order to make the alarm system operate normally, corresponding parameters need to be set for the distributed framework. For example, flink has many parameter configurations, such as parallelism (how many calculations are performed in parallel at the same time), configuration parameters such as a JobManager (control node of the whole cluster) memory, a task manager (task manager) memory, and the number of the taskmanagers, and when each configuration parameter is set to a different value, the corresponding state may affect the operation data of the electronic device, such as the memory usage rate, but the distributed framework is not a linear system, and each parameter is associated with each other, so that selecting an accurate parameter combination to achieve normal operation of the alarm system is a technical problem to be solved urgently at present.
In order to solve the above problem, in the embodiments of the present application, a parameter set of an alarm system is obtained, a plurality of parameter combinations are configured for the parameter set to evaluate each parameter combination, and an evaluation score of each parameter combination is used to rotate the parameter combination, so as to obtain a target parameter combination whose evaluation score meets a certain device operation condition, thereby achieving accurate and efficient acquisition of the target parameter combination.
The data transmission method provided by the application aims to solve the technical problems in the prior art.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a diagram illustrating an application scenario of the alarm system configuration method according to the embodiment of the present application. An alarm system 1 and an electronic device 2 configuring the alarm system may be included in the scenario. The electronic device 2 is, for example, a cloud server, and the electronic device 2 is, for example, an alarm system that detects and warns an operating state of a system such as a data processing system of a bank. The electronic device 2 can obtain the parameter set of the alarm system 1, and according to the technical scheme of the application, a plurality of device states corresponding to the parameter set of the alarm system and parameter combinations corresponding to the device states are obtained, parameter selection is implemented, a target parameter combination is obtained, the electronic device 2 configures the alarm system by using the obtained target parameter combination, and an accurate alarm system is obtained.
Fig. 2 is a flowchart of an embodiment of an alarm system configuration method provided in an embodiment of the present application, where the method may be applied to a terminal device, and the method may include the following steps:
201: in response to a system configuration request for the alarm system, a set of parameters for the alarm system is obtained, the set of parameters including a plurality of configuration parameters for the alarm system.
Optionally, the alarm system may be configured on the electronic device, and of course, the electronic device may be a computing node in a distributed cluster, and the type of the electronic device is not limited in this embodiment. The alarm system can carry out an application program for alarm detection on the service state of the data processing service provided by the electronic equipment, and can carry out early warning prompt in time when the abnormal state exists.
Optionally, before performing step 201, displaying a configuration page of the alarm system, where the configuration page includes a system configuration control, and generating a system configuration request when detecting that the user triggers the system configuration control, where the system configuration request may be captured by the electronic device.
A parameter set may refer to a number of configuration parameters that need to be set while the alarm system is running. The parameter set may include, for example, a plurality of parameters among parallelism (how many computations are in parallel at the same time), jobManager (control node of the entire cluster) memory, taskManager (task manager) memory, number of taskmanagers, and the like.
202: and determining a plurality of equipment states corresponding to the parameter set and a parameter combination corresponding to each equipment state, wherein the parameter combination comprises parameter values corresponding to a plurality of configuration parameters respectively, and the equipment state comprises operation data generated by the alarm system when the electronic equipment operates according to the corresponding parameter combination.
Alternatively, a parameter combination in which each configuration parameter has one parameter value can be obtained by obtaining the value range of each configuration parameter in the parameter set and setting the parameter value for each configuration parameter. The device state may be device usage data generated by the alarm system when the electronic device is running, and different parameter combinations may correspond to different device states. In order to obtain the parameter combinations corresponding to the equipment states, the equipment running conditions of the alarm system can be simulated or learned, and the parameter combinations corresponding to the equipment states are obtained by recording the parameters of the alarm system in different equipment states.
The operational data may be device usage data generated by the electronic device operating an alarm system configured for a certain combination of parameters. The operation data may include one or more of memory occupancy rate, CPU (central processing unit) consumption rate, and the like, and the operation data may represent a specific use condition of the electronic device, and may determine whether the electronic device needs to be expanded through the operation data. Taking the first operation data as the memory occupancy rate as an example, when the memory occupancy rate is above 90%, the memory of the electronic device may be expanded, and when the memory occupancy rate is below 60%, the memory of the electronic device may be contracted.
203: and selecting the target equipment state meeting the equipment operation conditions according to the operation data respectively corresponding to the plurality of equipment states so as to obtain the parameter combination related to the target equipment state.
Alternatively, the device operating condition may include a highest-score selection condition, that is, the device state associated with the parameter combination with the highest score may be selected as the target parameter combination.
204: and performing parameter configuration on the alarm system according to the parameter values of the configuration parameters in the target parameter combination.
The target parameter combination comprises parameter values corresponding to a plurality of configuration parameters in the parameter set respectively, and when the alarm system is subjected to parameter configuration, the alarm system can be specifically controlled to execute setting operation of each configuration parameter, and each configuration parameter is set to be a corresponding parameter value.
According to the technical scheme, the parameter set of the alarm system can be obtained in response to a system configuration request for the alarm system, the parameter set can comprise a plurality of configuration parameters of the alarm system, a plurality of equipment states corresponding to the parameter set and parameter combinations corresponding to the equipment states are determined, each parameter combination can comprise parameter values corresponding to the configuration parameters, and parameter setting and obtaining of the alarm system are achieved. The device state includes operation data generated by the alarm system when the electronic device operates according to the corresponding parameter combination, that is, the device state can be embodied by data of the specific operation condition of the device. And then according to the running data corresponding to the plurality of equipment states respectively, selecting the target equipment state meeting the equipment running conditions to obtain the parameter combination related to the target equipment state to form a target parameter combination, realizing the accurate selection of the parameter combination by taking the parameter combination as the selection reference of the parameter combination, and further carrying out parameter configuration on the alarm system according to the parameter value of each configuration parameter in the target parameter combination, thereby realizing the efficient and accurate parameter configuration of the alarm system, improving the configuration efficiency and accuracy, ensuring that the configured alarm system can meet the equipment running conditions, saving the energy of the system and ensuring the stable running of the system.
As an embodiment, the step 203 of selecting a target device status satisfying the device operation condition according to the operation data corresponding to the plurality of device statuses respectively may include:
and selecting the equipment state matched with the service environment of the alarm system as the target equipment state according to the running data respectively corresponding to the plurality of equipment states.
Alternatively, the service environment may refer to a period of use of the alarm system, a network status, holidays, and the like, which have an influence on data traffic. The usage period may include any one of a peak period, a normal period, and a valley period. Different periods of use may be associated with different equipment operating data, with equipment operating data during peak periods being higher than equipment operating data during ordinary periods, and equipment operating data during ordinary periods being higher than equipment operating data during valley periods. The associated device operating data at different time periods may be used to select a parameter combination corresponding to the time period. In addition, the network state, holidays and the like can be used as influence factors to participate in the selection process of the state of the target equipment, the fine selection of the state of the target equipment is realized from multiple angles, and the selection accuracy of the state of the target equipment is improved.
In the embodiment of the application, when the target parameter combination is selected, the target device state which is matched with the service environment of the alarm system and meets the device operation condition can be selected, so that the target device state is associated with the operation environment, the target parameter combination setting is more matched with the parameter requirement and the environment requirement of the alarm system, and the phenomenon of performance reduction of the alarm system caused by unreasonable parameter setting is reduced.
Further, on the basis of the foregoing embodiment, selecting, according to the operation data corresponding to each of the plurality of device states, a device state matching the service environment of the alarm system as a target device state may include:
acquiring service pressure of an alarm system in a service environment;
and selecting a target equipment state matched with the service pressure from the operation data respectively corresponding to the plurality of equipment states.
Among other things, service pressure may be one of the factors of the service environment. The service pressure can refer to the size of data flow of a data processing system monitored by the alarm system, and can be represented by data flow, wherein the larger the data flow is, the larger the service pressure is, the smaller the data flow is, and the smaller the service pressure is.
The operation data is matched with the service pressure to form a direct ratio, the larger the service pressure is, the larger the operation data is, the smaller the service pressure is, and the smaller the operation data is. Therefore, the operation data adapted to the size can be selected according to the size of the service pressure, namely, the alarm system corresponding to the operation data can process the alarm service under the service pressure. For example, the service pressure is greater than the traffic threshold, the service environment may be determined to be a peak period, and 80% of the matching peak period may be selected as the operational data. When the service pressure is less than the second flow threshold, the service environment may be determined to be a normal period, and 60% matching the normal period may be selected as the operation data. That is, the mapping relationship between different operation data intervals and data traffic areas may be set, and the operation data interval associated with the data traffic interval where the service pressure is obtained in real time may be queried through the mapping relationship, so as to obtain the target device state corresponding to the target operation data.
In the embodiment of the application, the service pressure of the alarm system in the service environment can be obtained, the target equipment state matched with the service pressure is selected from the running data respectively corresponding to the equipment states, so that the target equipment state can meet the early warning requirement of the service pressure, the target equipment state is selected on the basis of matching of the service pressure of the alarm system, effective tuning of parameters is realized, and the selection efficiency and accuracy of parameter combination can be improved.
As another embodiment, as shown in fig. 3, a flowchart of an embodiment of an alarm system configuration method provided in this embodiment is provided, where the method may be applied to a terminal device, and includes the steps of: determining a plurality of device states corresponding to the parameter set and a parameter combination corresponding to each device state 202 may include:
301: and generating a state table corresponding to the parameter set through a learning algorithm based on the function value, wherein the state table comprises a plurality of continuous device states and a first score and a second score which are associated with each device state, the first score is an expected score generated by executing first parameter adjustment on the corresponding device state, and the second score is an expected score generated by executing second parameter adjustment on the corresponding device state.
The Learning algorithm based on the function value can refer to a Q _ Learning (Q table Learning) algorithm, and the Learning algorithm based on the function can learn the operation model of the alarm system through the Learning algorithm so as to obtain operation data of the electronic equipment, which is generated when the alarm system operates in the electronic equipment under different parameter combinations, and the operation data can represent different equipment states so as to accurately guarantee the specific operation of the electronic equipment.
The device status may be usage data of the hardware device when the electronic device runs the alarm system, and may include, for example, memory occupancy rate and the like. The first parameter adjustment and the second parameter adjustment may be actions for adjusting parameters of the alarm system, that is, parameter adjustment actions, and specifically may be execution commands for performing parameter adjustment on configuration parameters according to a preset parameter adjustment policy.
The scores corresponding to the device states, such as the first score and the second score, may be calculated by a score formula in a learning algorithm based on the function value, where the score formula may be expressed as:
Q(s，a)←Q(s，a)+α[r+γmaXQ(s 1 ，a 1 )-Q(s，a)]
Wherein Si is a device operating parameter, such as a first operating parameter, etc., S1 represents an initial state, S2 represents a second state, and so on. γ may be the set initial attenuation coefficient, for example, may take a value of 0.8, and a may take a value of 0.01, for example, for learning efficiency. And setting a1 as a newly increased minimum unit of the parameter combination respectively, and setting a2 as a reduced minimum unit of the parameter combination respectively. One state may include a parameter adjustment action and a state, and a value of the state may be a device usage parameter such as a memory usage rate when executing the generation of a1 and a 2.
302: and acquiring initial operation data corresponding to the initial equipment state to acquire a parameter combination of the alarm system during the operation of the initial operation data and acquire the parameter combination of the initial equipment state.
The state table may be obtained, and may include a first state and corresponding first parameter adjustment and second parameter adjustment, where S1 is the first state, S2 is the second state, S3 is the third state, and Sn is the nth state, and so on, and a state table may be obtained, and the state table may be, for example, as shown in table 1 below.
In table 1, Q (Si, a 1) may be a first score of the state Si, Q (Si, a 2) may be a second score of the state Si, and i is a positive integer of 1 or more and n or less, which specifically represents an evaluation score of each state parameter obtained by calculating a Q value of the state S1 according to a parameter combination obtained by adjusting the parameter a1 or a 2.
Taking table 1 as an example, a first score is generated by using the parameter adjusted by a1 in the state where Q (S1, a 1) is S1, and a second score can be generated by using the parameter adjusted by a2 in the state where Q (S1, a 2) is S1.
303: and sequentially determining the parameter combination of each equipment state based on the state table from the second equipment state so as to obtain the parameter combination corresponding to the plurality of equipment states respectively.
In the embodiment, the states of the plurality of devices are accurately obtained by learning the state table, and the parameter combinations corresponding to the scores of the states of the devices are read, so that the device states and the parameter combinations of the device states are efficiently and accurately obtained.
Further, on the basis of the above embodiment, step 303: determining the parameter combination of each device state in turn based on the state table may include:
determining the current first equipment state according to the sequence of the equipment states;
acquiring the maximum score in a first score and a second score associated with the previous equipment state of the first equipment state to obtain a target score;
and taking a parameter combination obtained by performing corresponding parameter adjustment on the equipment state associated with the target score as a parameter combination corresponding to the first equipment state, returning to the sequence according to the equipment states, and determining the first equipment state to continue to execute until the parameter combination of each equipment state is obtained.
In this embodiment, the current first device state may be determined according to the order of the device states. The maximum score of the first equipment state can be obtained by obtaining the maximum score of the first score and the second score associated with the previous equipment state of the first equipment state, so that the parameter combination corresponding to the score with higher score is used as the target parameter combination, the selection of the target parameter combination depends on the accurate score of the equipment, and the equipment score obtaining efficiency and accuracy are improved.
Further, on the basis of the above embodiment, step 301: acquiring a state table corresponding to the parameter set through a learning algorithm based on the function value, wherein the state table comprises the following steps:
detecting a second parameter combination currently operated by the alarm system and equipment operation data of the electronic equipment operating the alarm system.
And determining an initial state according to the equipment operation data, and taking the second parameter combination as a parameter combination corresponding to the initial state.
And determining a first score and a second score corresponding to the initial state according to the initial state and the parameter combination corresponding to the initial state, and adding the first score and the second score associated with the initial state and the initial state to a state table.
And starting from the initial state, generating the next equipment state according to the first score and the second score corresponding to the current second equipment state, obtaining the first score and the second score associated with the next equipment state, adding the next equipment state and the first score and the second score thereof to the state table until the second equipment state meets the convergence condition, stopping state iteration, and obtaining the state table for terminating state iteration.
Optionally, at the initial stage of the iterative update, all of the plurality of states may be an initialization state, that is, an initial state may be obtained. The initial state with higher timeliness can be determined by means of real-time combination of device operating data generated during the operation of the alarm system and the second parameters configured during the operation of the alarm system. The initial state may correspond, for example, to S1 target operating state in table 1 corresponding to sn in table 1. When the target operation state is not reached, the actions a1 and a2 can be executed at the same time to perform parameter adjustment, so as to obtain a first parameter combination and a second parameter combination. And the scores of the two parameter combinations are obtained while observing the change of the memory utilization rate, and the state table can be continuously updated through iteration of new equipment states, so that the iteration of the state table is realized.
Also taking the above table 1 as an example, assuming that the operation data in the S1 state is 90%, the parameter combinations corresponding to S1 can be adjusted by a1 and a2 respectively to obtain the first parameter combination and the second parameter combination. Assuming that the operation data of the S1 device state generated by the alarm system simulation is 90%, after the operation S1 state is adjusted according to a1 and a2, the corresponding first estimation state is 89%, and the corresponding second estimation state is 91%, and a first score of the first parameter combination and a second score of the second parameter combination can be obtained through a score formula.
The memory usage rate of the first parameter combination is reduced by 1%, the memory usage rate of the second parameter combination is improved by 1%, the memory usage rate is equipment operation data, the data difference of the equipment operation data is opposite to the positive and negative of the score, the parameter score reduced by 1% can be positive, and the parameter score improved by 1% can be negative, as shown in table 2 below.
TABLE 2
After that, 89% (90% -1%) of the operation data corresponding to "1" with a high score may be selected as the first operation data of the next state S2, and the parameter adjustment actions of a1 and a2 may be performed again for the equipment state in the S2 state to obtain a new equipment state. After the first parameter combination and the second parameter combination are operated, for example, a1 is reduced by 4%, a1 is improved by 2%, the first score corresponding to the S2 state is 4, and the score corresponding to the second state is-2, as shown in table 3 below.
TABLE 3
In the embodiment of the application, when the state table is initialized, the second parameter combination when the alarm system operates in real time and the corresponding device operation data of the second parameter combination can be obtained, so that the real-time detection of the alarm system is realized. After that, the device operation data may be used as the initial state, and the second parameter combination may be used as the parameter combination corresponding to the initial state. And determining a first score and a second score of the initial state through the parameter combination corresponding to the initial state and the initial state, and adding the first score and the second score associated with the initial state and the initial state to a state table to realize the establishment of a first state in the state table. And then, starting from the initial state, generating the next device state according to the first score and the second score corresponding to the current second device state, obtaining the first score and the second score associated with the next device state, adding the next device state and the first score and the second score thereof to the state table until the second device state meets the convergence condition, stopping state iteration, obtaining the state table for terminating state iteration, and accurately obtaining other states in the state table until convergence through the iteration of the device states, the adjustment of parameter combinations, the score and other processing, so as to realize accurate learning of the state table.
Further, on the basis of the above embodiment, initializing the state table may include:
acquiring a second parameter combination generated by the alarm system in real time operation and second operation data generated by the second parameter combination in the electronic equipment;
acquiring target operation data of an alarm system;
and determining a plurality of states starting from the initial state to the end state by taking the second operation data as the initial state and the target operation data as the end state.
And generating a parameter adjusting action in an initial state by combining a preset parameter adjusting strategy according to the second parameter combination, generating a parameter adjusting action in a current state by combining the equipment state in the previous state with the parameter adjusting strategy from the second state, and establishing an association relation between each state and the corresponding parameter adjusting action.
And initializing the scores corresponding to the states according to the parameter adjustment action associated with the states, and obtaining the initial scores of the states so as to obtain an initialized state table consisting of a plurality of states and the initial scores of the states.
In the embodiment of the application, the second operation data and the target operation data are obtained, the iteration termination condition of the learning algorithm can be determined, and then the first score and the second score of each equipment state are continuously learned and obtained by using the parameter adjustment strategy based on the second parameter combination, so that the learning algorithm continuously learns the accurate scores of each state. Through iterative updating of the state table, data in the state table can be matched with the actual running state of the alarm system, and the scoring of each state is more accurate.
Further, on the basis of the above embodiment, generating a next device state according to the first score and the second score corresponding to the current second device state, and obtaining the first score and the second score associated with the next device state includes:
performing first parameter adjustment on the current second equipment state to obtain a first parameter combination;
performing second parameter adjustment on the state of the second equipment to obtain a second parameter combination;
predicting a first estimated state of the alarm system generated when the first parameter combination operates;
predicting a second estimated state of the alarm system generated when the second parameter combination operates;
determining a first score for the first combination of parameters based on a state difference between the second device state and the first estimated state;
determining a second score for the second combination of parameters based on a state difference between the second device state and the second estimated state;
selecting a target score with the highest score from the first score and the second score, and determining an estimation state corresponding to the target score as a next equipment state;
and obtaining a first score of the first parameter combination and a second score of the second parameter combination associated with the next equipment state.
Optionally, the device status may include device operational data. The state difference between the second device state and the second device state may refer to a data difference value of the first operational data and the second operational data. For example, the first estimated state is 90%, the second device state is 89%, and the state difference may be-1%. And the equipment state is opposite to the sign of the score value, the equipment difference is a positive number, and the parameter combination is explained to increase the equipment operating pressure, so that for the equipment difference-1 of the negative number, the corresponding first parameter combination can be determined to be 1. If the device difference corresponding to the second parameter combination is 1%, for a positive device difference of 1%, it may be determined that the corresponding second parameter combination is-1.
In the embodiment of the application, when the scoring of the equipment state is carried out, the accurate parameter expansion realized on the basis of the original first parameter combination can be realized through two steps of parameter combination adjustment and equipment state estimation. And then, the scores of the parameter combinations can be determined through the state difference, so that the running effect of each parameter combination can be accurately determined. And then the highest target score in the first score and the second score is used for selecting the equipment state. The higher the score of the parameter combination is, the higher the possibility of using the parameter is, so that the high score of the estimation state corresponding to the target score can be selected, the obtained parameter combination with excellent state is added into the state table, and the accuracy of the state table is improved.
Further, on the basis of the above embodiment, after obtaining the first score of the first parameter combination and the second score of the second parameter combination associated with the next device state, the method further includes:
and updating the first score and the second score associated with the second equipment state according to the first score and the second score associated with the next equipment state.
The second device state may be a previous device state of the next device state described in the embodiments.
Alternatively, the first score and the second score of the previous device state of the next device state may be updated by the score formula of the foregoing embodiment. For example, the first and second scores of the S1 state may be updated by the S2 state and the score formula in table 3. The specific update step can be expressed as:
Q(s1,a1)＝1+0.01*(4+0.8*1-1)＝1.038
Q(s2,a2)＝-1+0.01*(-2+4*0.8-(-1))＝-0.972
the updated state table, as shown in table 4:
TABLE 4
The first score of state S1 in Table 4 is updated to 1.038 and the second score is updated to-0.972.
In the embodiment of the application, the first score and the second score associated with the next device state are updated to enable the score result of the next device state after the second device state to perform score feedback on the second device state, the score of the previous device state is more accurate, iterative update of the score of the existing device state is achieved, and the score obtaining accuracy and precision are improved.
For convenience of understanding, each processing node is configured in a modularized manner, as shown in fig. 4, which is a structural example diagram of the alarm system configuration method provided in the embodiment of the present application, an alarm system 401 may be connected to a parameter detection system 402, and the parameter detection system 402 may detect a second parameter combination generated by the alarm system 401 in real time and device operation data generated by the second parameter combination in an electronic device. The parameter detection system 402 may establish a connection with the Learning system 403 of the Learning algorithm of Q _ Learning. The parameter detection system 402 may send the detected second parameter combination and the device operational data to the learning system 403. The learning system 403 executes reinforcement learning to obtain a state table, and obtains a plurality of device states and parameter combinations of the device states through the state table, and obtains a target parameter combination by combining with the alarm system adjustment algorithm of the present application. The learning system 403 may send the target parameter combination to the automatic parameter adjustment module 404. The parameter automatic adjustment module 404 may perform parameter adjustment on a plurality of configuration parameters in the alarm system, so that the value of each configuration parameter is a parameter value corresponding to the target parameter combination in the configuration parameter.
As shown in fig. 5, for a schematic structural diagram of an embodiment of an alarm system configuration apparatus provided in an embodiment of the present application, the alarm system configuration apparatus 500 may include:
the response unit 501: the alarm system configuration system is used for responding to a system configuration request of the alarm system, and acquiring a parameter set of the alarm system, wherein the parameter set comprises a plurality of configuration parameters of the alarm system;
the determination unit 502: the device state detection system is used for determining a plurality of device states corresponding to the parameter set and a parameter combination corresponding to each device state, wherein the parameter combination comprises parameter values corresponding to a plurality of configuration parameters respectively, and the device state comprises operation data generated by the alarm system when the electronic device operates according to the corresponding parameter combination;
the selection unit 503: the device state selection unit is used for selecting a target device state meeting the device operation conditions according to operation data corresponding to the plurality of device states respectively so as to obtain parameter combinations related to the target device state to form a target parameter combination;
the configuration unit 504: and the parameter configuration module is used for performing parameter configuration on the alarm system according to the parameter values of the configuration parameters in the target parameter combination.
As an embodiment, the selecting unit 503 may include:
and the selection module is used for selecting the equipment state matched with the service environment of the alarm system as the target equipment state according to the running data respectively corresponding to the plurality of equipment states.
As another embodiment, the selecting module may include:
the acquisition submodule is used for acquiring the service pressure of the alarm system in a service environment;
and the selection submodule is used for selecting the target equipment state matched with the service pressure from the operating data respectively corresponding to the equipment states.
As an embodiment, the determining unit may include:
the state learning module is used for generating a state table corresponding to the parameter set through a learning algorithm based on the function value, the state table comprises a plurality of continuous equipment states and a first score and a second score which are associated with the equipment states, the first score is an expected score generated by executing first parameter adjustment on the corresponding equipment state, and the second score is an expected score generated by executing second parameter adjustment on the corresponding equipment state;
the first acquisition module is used for acquiring initial operation data corresponding to the initial equipment state so as to obtain a parameter combination of the alarm system during the operation of the initial operation data and obtain the parameter combination of the initial equipment state;
and the second acquisition module is used for sequentially determining the parameter combination of each equipment state from the second equipment state based on the state table so as to obtain the parameter combinations corresponding to the plurality of equipment states respectively.
As yet another embodiment, the second obtaining module includes:
the first obtaining submodule is used for determining the current first equipment state according to the sequence of the equipment states;
the score comparison submodule is used for acquiring the maximum score in a first score and a second score associated with the previous equipment state of the first equipment state to acquire a target score;
and the combination obtaining submodule is used for taking a parameter combination obtained by performing corresponding parameter adjustment on the equipment state associated with the target score as a parameter combination corresponding to the first equipment state, returning to the sequence according to the equipment states, and determining the first equipment state to continue to execute until the parameter combination of each equipment state is obtained.
As yet another embodiment, a state learning module includes:
and the data detection submodule is used for detecting the second parameter combination currently operated by the alarm system and the equipment operation data of the electronic equipment for operating the alarm system.
The state initial submodule is used for determining an initial state according to the equipment operation data and taking the second parameter combination as a parameter combination corresponding to the initial state;
the initial determination submodule is used for determining a first score and a second score corresponding to the initial state according to the initial state and the parameter combination corresponding to the initial state, and adding the first score and the second score associated with the initial state and the initial state to a state table;
and the state acquisition submodule is used for generating the next equipment state from the initial state according to the first score and the second score corresponding to the current second equipment state, acquiring the first score and the second score associated with the next equipment state, adding the next equipment state and the first score and the second score thereof to the state table until the second equipment state meets the convergence condition, stopping state iteration and acquiring the state table for terminating state iteration.
As another embodiment, the status obtaining sub-module may be specifically configured to:
performing first parameter adjustment on the current second equipment state to obtain a first parameter combination; performing second parameter adjustment on the state of the second equipment to obtain a second parameter combination; predicting a first estimated state of the alarm system generated when the first parameter combination operates; predicting a second estimated state of the alarm system generated when the second parameter combination is operated; determining a first score for the first combination of parameters based on a state difference between the second device state and the first estimated state; determining a second score for the second combination of parameters based on a state difference between the second device state and the second estimated state; selecting a target score with the highest score from the first score and the second score, and determining an estimation state corresponding to the target score as a next equipment state; a first score for the first combination of parameters and a second score for the second combination of parameters associated with the next device state are obtained.
As another embodiment, the status obtaining sub-module may be further configured to:
and updating the first score and the second score associated with the second equipment state according to the first score and the second score associated with the next equipment state.
Fig. 6 is a block diagram illustrating an electronic device that may be configured with an alarm system, and in particular may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, a notebook, or the like, according to one exemplary embodiment.
The apparatus 600 may include one or more of the following components: processing component 602, memory 604, power component 606, multimedia component 608, audio component 610, input/output (I/O) interface 612, sensor component 614, and communication component 616.
The processing component 602 generally controls overall operation of the device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 may include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.
The memory 604 is configured to store various types of data to support operations at the apparatus 600. Examples of such data include instructions for any application or method operating on device 600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 608 includes a screen that provides an output interface between the device 600 and the user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 600 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 610 is configured to output and/or input audio signals. For example, audio component 610 includes a Microphone (MIC) configured to receive external audio signals when apparatus 600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.
The I/O interface 612 provides an interface between the processing component 602 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 614 includes one or more sensors for providing various aspects of status determination for the apparatus 600. For example, the sensor component 614 may detect an open/closed state of the device 600, the relative positioning of the components, such as a display and keypad of the device 600, the sensor component 614 may also detect a change in position of the device 600 or a component of the device 600, the presence or absence of user contact with the device 600, orientation or acceleration/deceleration of the device 600, and a change in temperature of the device 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 616 is configured to facilitate communications between the apparatus 600 and other devices in a wired or wireless manner. The apparatus 600 may access a wireless network based on a communication standard, such as WiFi,2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 604 comprising instructions, executable by the processor 620 of the apparatus 600 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
Optionally, the present application further provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the alarm system configuration method.
Optionally, the present application also provides a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to execute the alarm system configuration method.
Optionally, the present application also provides a computer program product comprising a computer program, which is implemented when executed by a processor.
Optionally, the present application also provides a non-transitory computer-readable storage medium, where instructions in the storage medium, when executed by a processor of a terminal device, enable the terminal device to perform the above alarm system configuration method.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention 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 is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (12)
1. An alarm system configuration method, comprising:
in response to a system configuration request for an alarm system, obtaining a parameter set for the alarm system, the parameter set comprising a plurality of configuration parameters for the alarm system;
determining a plurality of equipment states corresponding to the parameter set and a parameter combination corresponding to each equipment state, wherein the parameter combination comprises parameter values corresponding to the plurality of configuration parameters respectively, and the equipment state comprises operating data generated when the alarm system operates on the electronic equipment by the corresponding parameter combination;
selecting a target equipment state meeting equipment operation conditions according to operation data corresponding to the equipment states respectively so as to obtain parameter combinations related to the target equipment state to form target parameter combinations;
and performing parameter configuration on the alarm system according to the parameter values of the configuration parameters in the target parameter combination.
2. The method according to claim 1, wherein selecting a target device status satisfying a device operating condition according to the operating data corresponding to the plurality of device statuses respectively comprises:
and selecting the equipment state matched with the service environment of the alarm system as a target equipment state according to the running data respectively corresponding to the equipment states.
3. The method of claim 2, wherein selecting a device status matching a service environment of the alarm system as a target device status according to the operation data corresponding to the plurality of device statuses comprises:
acquiring the service pressure of the alarm system in the service environment;
and selecting a target equipment state matched with the service pressure from the operation data respectively corresponding to the equipment states.
4. The method of claim 1, wherein the determining the plurality of device states corresponding to the parameter set and the parameter combination corresponding to each device state comprises:
generating a state table corresponding to the parameter set through a learning algorithm based on function values, wherein the state table comprises a plurality of continuous equipment states and a first score and a second score which are associated with each equipment state, the first score is an expected score generated by executing first parameter adjustment on the corresponding equipment state, and the second score is an expected score generated by executing second parameter adjustment on the corresponding equipment state;
acquiring initial operation data corresponding to an initial equipment state to obtain a parameter combination of the alarm system during the operation of the initial operation data and obtain the parameter combination of the initial equipment state;
and sequentially determining the parameter combination of each equipment state based on the state table from the second equipment state so as to obtain the parameter combinations corresponding to the equipment states respectively.
5. The method of claim 4, wherein determining the parameter combination for each device state in turn based on the state table comprises:
determining the current first equipment state according to the sequence of the equipment states;
acquiring the maximum score in a first score and a second score associated with the previous equipment state of the first equipment state to acquire a target score;
and performing corresponding parameter adjustment on the equipment state associated with the target score to obtain a parameter combination as a parameter combination corresponding to the first equipment state, returning to the sequence according to the equipment states, and determining the first equipment state to continue to execute until the parameter combination of each equipment state is obtained.
6. The method according to claim 4, wherein the obtaining the state table corresponding to the parameter set by a learning algorithm based on function values comprises:
detecting a second parameter combination currently operated by the alarm system and equipment operation data of the electronic equipment operating the alarm system;
determining the initial state according to the equipment operation data, and taking the second parameter combination as a parameter combination corresponding to the initial state;
determining a first score and a second score corresponding to the initial state according to the initial state and the parameter combination corresponding to the initial state, and adding the first score and the second score associated with the initial state and the initial state to the state table;
and starting from the initial state, generating a next device state according to a first score and a second score corresponding to the current second device state, obtaining a first score and a second score associated with the next device state, adding the next device state and the first score and the second score thereof to the state table until the second device state meets a convergence condition, stopping state iteration, and obtaining a state table for terminating state iteration.
7. The method according to claim 6, wherein the generating a next device state according to the first score and the second score corresponding to the current second device state and obtaining the first score and the second score associated with the next device state comprises:
performing first parameter adjustment on the current state of the second equipment to obtain a first parameter combination;
performing second parameter adjustment on the state of the second equipment to obtain a second parameter combination;
predicting a first estimated state of the alarm system resulting from operation of the first combination of parameters;
predicting a second estimated state of the alarm system resulting when the second combination of parameters is operating;
determining a first score for the first combination of parameters based on a state difference between the second device state and the first estimated state;
determining a second score for the second combination of parameters based on a state difference between the second device state and the second estimated state;
selecting a target score with the highest score from the first score and the second score, and determining an estimation state corresponding to the target score as the next equipment state;
obtaining a first score for the first combination of parameters and a second score for the second combination of parameters associated with the next device state.
8. The method of claim 7, wherein after obtaining the first score for the first combination of parameters and the second score for the second combination of parameters associated with the next device state, further comprising:
and updating the first score and the second score associated with the second equipment state according to the first score and the second score associated with the next equipment state.
9. An alarm system configuration device, comprising:
the alarm system comprises a response unit, a processing unit and a processing unit, wherein the response unit is used for responding to a system configuration request of an alarm system and acquiring a parameter set of the alarm system, and the parameter set comprises a plurality of configuration parameters of the alarm system;
the determining unit is used for determining a plurality of equipment states corresponding to the parameter set and a parameter combination corresponding to each equipment state, wherein the parameter combination comprises parameter values corresponding to the plurality of configuration parameters respectively, and the equipment state comprises operation data generated when the alarm system operates in an electronic device by using the corresponding parameter combination;
the selection unit is used for selecting the target equipment state meeting the equipment operation condition according to the operation data respectively corresponding to the equipment states so as to obtain the parameter combination related to the target equipment state;
and the configuration unit is used for carrying out parameter configuration on the alarm system according to the parameter values of the configuration parameters in the target parameter combination.
10. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
11. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-8.
12. A computer program product comprising a computer program which, when executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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