CN110647085A - Parameter adjusting method and device - Google Patents
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- CN110647085A CN110647085A CN201910980188.3A CN201910980188A CN110647085A CN 110647085 A CN110647085 A CN 110647085A CN 201910980188 A CN201910980188 A CN 201910980188A CN 110647085 A CN110647085 A CN 110647085A
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
Abstract
The invention discloses a parameter adjusting method and device. Wherein, the method comprises the following steps: acquiring first operation data of the monitored system in current operation, wherein the first operation data are parameters which are dynamically changed when the monitored system operates; analyzing second operation data of the monitored system through the first operation data; the second operation data is sent to the monitored system, so that the monitored system adjusts the first operation data of the current operation, the purpose of analyzing the parameters of the current operation of the monitored system in real time and determining whether the monitored system needs to be adjusted is achieved, the technical effect of adjusting the operation parameters of the monitored system quickly and efficiently is achieved, and the technical problems that in the prior art, the operation data of the monitored system cannot be accurately adjusted and the efficiency of the monitored system cannot be adjusted under the condition that the monitored system breaks down are solved.
Description
Technical Field
The invention relates to the field of information monitoring, in particular to a parameter adjusting method and device.
Background
The information system monitoring technology is that special software and hardware facilities in the information system are utilized to collect state data generated in the running process of the information system, the data is extracted, filtered, aggregated and the like, the running state of the information system is reflected by a proper monitoring index system, and the running state of the information system is analyzed, manually processed or adjusted according to a set rule, so that the information system is kept in a reasonable health state.
The information system monitoring technology is an important guarantee technology for the reliability, stability and safety of an information system. In a large data system, due to the massive data, the user request concurrency is large, the resource usage amount is huge, complex relations are formed among all components, and the relation amount is exponentially increased due to the increase of the components. This puts higher demands on the monitoring system. Meanwhile, the security environment of the big data system is more complex, and once a certain component or a certain link has a problem, the result that the whole big data system cannot be used is very likely to be caused. Therefore, a real-time, accurate and flexible monitoring system will play a more important role.
The problems of the existing information system monitoring technology are as follows: 1) the processing of the alarm message basically depends on manual operation, so that not only is the efficiency low, but also the possibility of misoperation is high. It is a hidden danger for the smooth operation of the information system. 2) The monitoring system established by the current monitoring technology is a static system, and each increase or decrease of one monitoring index means the change of the system, which is a huge pressure for research, development and operation and maintenance. 3) The adjustment of the monitoring parameters (including the monitoring index and the index threshold) requires manual operation, which is inefficient. Meanwhile, the adjustment action is not based and data support is not available, so that repeated adjustment is needed many times, the effect is poor, and a large amount of manpower and material resources are consumed.
The difficulty of dynamically adjusting the monitoring parameters is as follows: 1) the number of monitoring indexes is huge, and the relation between the indexes is complicated. Local adjustments may affect the whole. The dynamic adjustment of the parameters requires a large amount of data to train the algorithm model, which consumes a large amount of computing resources, and requires a powerful algorithm model and computing system. 2) Most of the time, the abnormal condition of the information system is caused or influenced by the external factors of the system, and the existing monitoring system has no effect on the external factors, and cannot sense, use or adjust. 3) The monitoring system also has problems with its own state perception, use and adjustment. Therefore, when the monitored system shows an abnormality, it cannot be necessarily determined whether the monitored system has an abnormality or whether the monitoring system has a problem.
The monitoring system can not be continuously optimized, and the monitoring system has the defects that 1) the data flow direction in the front monitoring system is fixed, the data acquisition, the data storage, the data analysis, the data display, the monitoring alarm and the alarm processing are carried out, and the following steps can not provide feedback and optimization for the front steps. 2) The data acquisition and processing of the monitoring system and the subsequent control steps depend too much on manual intervention, and the processing efficiency is low. And there is no basis when adjusting the monitoring parameter manually, often do qualitative adjustment, even clap the adjustment of the brain, scientific rationality can not be guaranteed.
In view of the above technical problems, no effective solution has been proposed at present.
Disclosure of Invention
The embodiment of the invention provides a parameter adjusting method and device, which are used for at least solving the technical problems that in the prior art, under the condition that a monitoring system fails, the operating data of the monitoring system cannot be accurately adjusted, and the efficiency of the monitoring system cannot be adjusted.
According to an aspect of the embodiments of the present invention, there is provided a method for adjusting a parameter, including: acquiring first operation data of a monitored system in current operation, wherein the first operation data are parameters which dynamically change when the monitored system operates; analyzing second operation data of the monitored system through the first operation data; and sending the second operation data to the monitored system so that the monitored system adjusts the currently operated first operation data.
Further, after analyzing the second operation data of the monitored system through the first operation data, the method further comprises: acquiring third operation data of a monitoring system, wherein the third operation data is a parameter which dynamically changes when the monitoring system operates; and inputting the third operation data and the second operation data into a neural network model to determine fourth operation data, wherein the fourth operation data is used for the monitoring system to adjust the currently operated third operation data.
Further, after analyzing the second operation data of the monitored system through the first operation data, the method further comprises: and displaying alarm information under the condition that the difference value between the second operation data and the first operation data currently operated by the monitored system is greater than a preset threshold, wherein the alarm information carries a difference list of the second operation data and the first operation data.
Further, before the obtaining the first operation data of the monitoring system, the method further includes: determining target parameters of the monitored system for operating target events; acquiring target operation data for operating the target event, wherein the first operation data comprises the target operation data; analyzing fifth operation data of the monitored system according to the target operation data; and sending the fifth operation data to the monitored system so that the monitored system adjusts the currently operated target operation data.
According to another aspect of the embodiments of the present invention, there is also provided a parameter adjusting apparatus, including: the monitoring system comprises a first acquisition unit, a second acquisition unit and a monitoring unit, wherein the first acquisition unit is used for acquiring first operation data of the monitored system in current operation, and the first operation data is a parameter which dynamically changes when the monitored system operates; the first analysis unit is used for analyzing second operation data of the monitored system through the first operation data; and the first sending unit is used for sending the second operation data to the monitored system so as to enable the monitored system to adjust the currently operated first operation data.
Further, the apparatus further comprises: the second acquisition unit is used for acquiring third operating data of the monitoring system after analyzing second operating data of the monitored system through the first operating data, wherein the third operating data is a parameter which dynamically changes when the monitoring system operates; the first determining unit is configured to input the third operating data and the second operating data into a neural network model to determine fourth operating data, where the fourth operating data is used by the monitoring system to adjust the currently operating third operating data.
Further, the apparatus further comprises: the display unit is used for displaying alarm information under the condition that a difference value between the second operation data and the first operation data currently operated by the monitored system is larger than a preset threshold value after the second operation data of the monitored system is analyzed through the first operation data, wherein the alarm information carries a difference list of the second operation data and the first operation data.
Further, the apparatus further comprises: the second determining unit is used for determining the target parameters of the monitored system operation target events before acquiring the first operation data of the monitoring system; a third obtaining unit, configured to obtain target operation data for operating the target event, where the first operation data includes the target operation data; the second analysis unit is used for analyzing fifth operation data of the monitored system according to the target operation data; and the second sending unit is used for sending the fifth operation data to the monitored system so as to enable the monitored system to adjust the currently operated target operation data.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium, where the storage medium includes a stored program, and the program executes the method for adjusting the parameter according to any one of the above methods.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes to perform any one of the parameter adjustment methods described above.
In the embodiment of the invention, first operation data of the monitored system in the current operation is obtained, wherein the first operation data is a parameter which is dynamically changed when the monitored system operates; analyzing second operation data of the monitored system through the first operation data; the second operation data is sent to the monitored system, so that the monitored system adjusts the first operation data of the current operation, the purpose of analyzing the parameters of the current operation of the monitored system in real time and determining whether the monitored system needs to be adjusted is achieved, the technical effect of adjusting the operation parameters of the monitored system quickly and efficiently is achieved, and the technical problems that in the prior art, the operation data of the monitored system cannot be accurately adjusted and the efficiency of the monitored system cannot be adjusted under the condition that the monitored system breaks down are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a parameter adjustment method according to an embodiment of the present invention;
FIG. 2 is a flow chart of a situation awareness based adaptive monitoring method according to a preferred embodiment of the present invention; and
fig. 3 is a schematic diagram of an apparatus for adjusting parameters according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
There is also provided, in accordance with an embodiment of the present invention, a method embodiment of a method for parameter adjustment, it being noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
The method of adjusting the parameters of the embodiment of the present invention will be described in detail below.
Fig. 1 is a flowchart of a parameter adjusting method according to an embodiment of the present invention, and as shown in fig. 1, the parameter adjusting method includes the following steps:
step S102, acquiring first operation data of the monitored system in current operation, wherein the first operation data is a parameter which dynamically changes when the monitored system operates.
In this embodiment, if the monitored system is not an operation system of the numerical control machine, the first operation data includes: the first operation data can be acquired and stored by a monitoring system according to the operation parameters such as the rotating speed of a spindle of the current numerical control machine tool and the feeding amount of a cutter of the numerical control machine tool for cutting materials.
And step S104, analyzing second operation data of the monitored system through the first operation data.
In step S106, the second operation data is sent to the monitored system, so that the monitored system adjusts the currently operated first operation data.
Through the steps, first operation data of the monitored system in the current operation are obtained, wherein the first operation data are parameters which are dynamically changed when the monitored system operates; analyzing second operation data of the monitored system through the first operation data; the second operation data is sent to the monitored system, so that the monitored system adjusts the first operation data of the current operation, the purpose of analyzing the parameters of the current operation of the monitored system in real time and determining whether the monitored system needs to be adjusted is achieved, the technical effect of adjusting the operation parameters of the monitored system quickly and efficiently is achieved, and the technical problems that in the prior art, the operation data of the monitored system cannot be accurately adjusted and the efficiency of the monitored system cannot be adjusted under the condition that the monitored system breaks down are solved.
It should be noted that the parameter adjustment in the present embodiment can be applied to, but is not limited to, internet of things, internet, and car networking systems. For example, the present invention can be applied to monitored systems for machine tool operation and monitoring systems for monitoring machine tool operation, network streaming media transmission, and long-axis loads, which are not listed here.
In practical application, the embodiment of the invention realizes the adjustment of the operation parameters of the monitored object in a self-adaptive mode. The data and the adjustment feedback between the monitoring system and the monitored system according to the data result can be realized.
The technical scheme in the embodiment can be applied to a numerical control machine, for example, the CNC machining process of a metal cutting numerical control machine is optimized by adopting the ACM technology, and the machining efficiency is improved. By adopting the technology in the embodiment, the maximum rotating speed, the maximum load and the maximum feeding rate of the main shaft can be fully utilized, workpieces with variable materials and cutting quantities can be machined, and meanwhile, the machine tool and the main shaft system can be automatically protected. Optimizing features in metal cutting.
The technical scheme in the embodiment can be applied to an industrial sewage treatment system. For example, the PH value of the sewage treatment system of the ethylene device is controlled by adopting a model-free adaptive control technology, so that the sewage discharge quality and the environment-friendly requirement of mothers can be controlled, and the purposes of stable production, energy conservation and consumption reduction are achieved.
For example, in the field of communications. In the short wave adaptive communication system, an adaptive controller is a command center of the system and is the key of success or failure of the system. An adaptive control system is a special nonlinear control system, and the characteristics (structure and parameters), environment and interference characteristics of the system are uncertain. During the operation of the system, the system can only accumulate relevant information online, and the correction and control of system structure parameters are carried out, so that the system is in the required optimal state. Since the short wave channel is a very unstable time-varying channel, the short wave adaptive system belongs to a random adaptive control system. The random self-adaptive control system consists of three parts, namely a detected object, an identifier and a controller.
As an alternative embodiment, after analyzing the second operation data of the monitored system through the first operation data, the method further includes: acquiring third operation data of the monitoring system, wherein the third operation data is a parameter which dynamically changes when the monitoring system operates; and inputting the third operation data and the second operation data into the neural network model to determine fourth operation data, wherein the fourth operation data is used for adjusting the third operation data currently operated by the monitoring system.
In this optional embodiment, the operation data of the monitoring system may be obtained, the operation data of the monitoring system may be analyzed, and further, the operation parameters of the monitoring system and the monitored system may be considered comprehensively, and the data of the monitored system may be determined and adjusted, so that the monitoring system may accurately adjust the operation parameters.
As an alternative embodiment, after analyzing the second operation data of the monitored system through the first operation data, the method may further include: and displaying alarm information under the condition that the difference value between the second operation data and the first operation data currently operated by the monitored system is greater than a preset threshold value, wherein the alarm information carries a difference list of the second operation data and the first operation data. Namely, the position of the parameter with abnormality can be definitely known through the difference list carried in the alarm information, and the high difference list is stored, so that the difference list is used as basic data to adjust the operation parameters under the condition that the monitored system fails next time.
As an optional embodiment, before acquiring the first operation data of the monitoring system, the method may further include: determining target parameters of a monitored system operating target event; acquiring target operation data for operating a target event, wherein the first operation data comprises the target operation data; analyzing fifth operation data of the monitored system through the target operation data; and sending the fifth operation data to the monitored system so that the monitored system adjusts the currently operated target operation data. Partial operation parameters of the monitoring system can be adjusted according to the target parameters of the target events, and the efficiency of adjusting the operation parameters of the monitoring system is further improved.
The invention also provides a preferred embodiment, which provides an adaptive monitoring method based on situation awareness.
In the preferred embodiment, by means of the concept and technology of situation awareness, the defects that the monitoring system cannot perceive the external state and the change of the state of the monitoring system per se and the like are overcome, so that the post link of the monitoring system can provide data feedback for the pre link, and the monitoring index system is quickly updated by means of big data in combination with a real-time big data analysis decision system.
Situational knowledge is an ability to learn about security risks based on environment, dynamically, and globally, and is a way to identify, understand, analyze, respond to, and process security threats from a global perspective based on security data, and finally to make decisions and actions, which is the ground of security ability. This approach may be applied for regulatory agencies, large industries, and large agencies or enterprises.
And collecting the execution condition of the monitoring system on the adjustment scheme of the monitored system in real time, and training the algorithm model of the automatic adjustment system in a real-time or off-line mode.
As shown in fig. 2, a flow chart of the adaptive monitoring method based on situation awareness in the preferred embodiment of the present invention is shown. It should be noted that the arrow pointing in fig. 2 shows the dependency relationship, i.e. the unit pointed by the arrow is dependent on the unit issued by the arrow line. Bidirectional arrows refer to interdependencies and unidirectional arrows refer to single dependencies.
The specific method comprises the following steps:
1) the information collection unit 201 (equivalent to an acquisition unit) generally operates on a monitored system, and has a main function of collecting change information of an operation state of the monitored system. In this scheme, the variations of the information collecting unit are: the information is no longer collected in the already set manner, but the dynamic parameters sent by the monitoring index management unit are allowed to be received and the information is collected in the manner indicated by the dynamic parameters.
2) The situation awareness unit 203 (equivalent to an analysis unit) includes two sub-units, an internal information processing sub-unit 2031 and an external information processing sub-unit 2033, respectively. The information is used for analyzing and processing internal information (including monitored system information and monitoring system self information) and external information respectively, and the estimation of the current situation is formed by combining the rules changing along with time and analyzing jointly on the basis of the information. It can be seen that the situation awareness unit 23 depends on data provided by all other units, which includes, but is not limited to, system operation data, parameter changes, program exceptions, and security events, and it can be considered that all factors that may affect the operation of the monitored system and the monitoring system have an effect on the result of the situation estimation. The situation awareness unit 203 outputs data to the outside to the system with control capability.
3) The monitoring index management unit 205 includes an adaptive control unit 2051. The adaptive control unit 205 is used to complete dynamic issuing of the operation parameters of the information collection unit 201 and the operation parameters of the monitored system parameter control unit 207. It can be seen that the adaptive control unit 2051 is dependent on the situation awareness unit 203, which provides it with a powerful data support, for which it can function. The situation awareness unit 203 is the core of this adaptation cycle being initiated.
It should be noted that other conventional functions of the monitoring index management unit 205, such as supporting manual configuration of the monitoring index and providing an index management interaction interface to the outside, are not described in detail,
it should be noted that, in the preferred embodiment, in the function of the actual situation awareness unit 203, a neural network algorithm, for example, an algorithm for deep machine learning such as a convolutional neural network, is used to increase the speed and accuracy of the response of the situation awareness system. But its implementation is not limited to this method.
4) The alarm management 211 may obtain the alarm information of the situation from the situation awareness system, or may analyze the monitoring data depending on the alarm rule, and generate the alarm information by itself. Meanwhile, the system can also send a request for modifying the monitoring index to the monitoring index management unit and can send a parameter modifying instruction to the monitored system action parameter control unit. That is, the alarm management unit 213 is also a system that has automation to process and optimize the operation state of the monitored system. It is understood that alarm management is a special case of monitoring index management.
It should be noted that, by using the neural network model, the operation data of the monitored system and the monitoring system is used as the input of the neural network model, and it can be obtained whether the determined error position is the monitoring system or the monitored system when the monitored system is detected to have a fault, so as to realize the overall situation awareness of the monitoring system and the monitored system, so as to adjust the operation parameters of the monitored system and/or adjust the operation parameters of the monitoring system, so that the operation of the system meets the optimal state.
The model of dynamic perception can be generally divided into three levels, from low to high, specifically: the first level is the perception of the elements in the environment, i.e., the input of information. The second level is the comprehensive understanding of the current situation mirror, i.e., the processing of information. The third level is the prediction and planning of subsequent scenarios, i.e. the output of information. In the second stage, the input of information can be performed by using a neural network, and then the information to be output is obtained. The complex and various information can be classified through machine learning, and the input information can be learned, so that the output information is more accurate.
Through the preferred embodiment, the following beneficial effects are achieved: 1) the situation awareness concepts and technologies are applied to information system monitoring technologies. 2) The neural network technology is creatively used for expanding the response speed and the response precision of situation awareness. 3) The self-adaptive monitoring system has novelty, and a monitoring index system, a monitoring index threshold value and an adjustment scheme for a target system can be dynamically adjusted through a computer system, so that the efficiency is improved, and the accuracy is increased. 4) The monitoring system can continuously collect the change data of each monitoring index caused by the adjusting scheme while improving the adjusting frequency of the target system, and provides a data basis for continuously optimizing the self adjusting algorithm. So that the monitoring system is both an adaptive system (short term) and a continuously optimized system (long term).
According to an embodiment of the present invention, an embodiment of an apparatus for adjusting a parameter is further provided, where it should be noted that the apparatus for adjusting a parameter may be used to execute a method for adjusting a parameter in the embodiment of the present invention, that is, the method for adjusting a parameter in the embodiment of the present invention may be executed in the apparatus for adjusting a parameter.
Fig. 3 is a schematic diagram of an apparatus for adjusting parameters according to an embodiment of the present invention, and as shown in fig. 3, the apparatus for adjusting parameters may include: a first acquisition unit 31, a first analysis unit 33 and a first transmission unit 35.
A first obtaining unit 31, configured to obtain first operation data of a monitored system in current operation, where the first operation data is a parameter that dynamically changes when the monitored system operates;
the first analysis unit 33 is used for analyzing second operation data of the monitored system through the first operation data;
the first sending unit 35 is configured to send the second operation data to the monitored system, so that the monitored system adjusts the currently operating first operation data.
By the above device, the first obtaining unit 31 obtains first operation data of the monitored system in current operation, where the first operation data is a parameter that dynamically changes when the monitored system operates; the first analysis unit 33 analyzes second operation data of the monitored system through the first operation data; the first sending unit 35 sends the second operation data to the monitored system, so that the monitored system adjusts the currently operated first operation data. The method and the device achieve the purpose of analyzing the current running parameters of the monitored system in real time and determining whether the monitored system needs to be adjusted or not, thereby realizing the technical effect of adjusting the running parameters of the monitored system quickly and efficiently, and further solving the technical problems that in the prior art, the running data of the monitored system cannot be accurately adjusted and the efficiency of the monitored system cannot be adjusted under the condition that the monitored system fails.
It should be noted that the first acquiring unit 31 in this embodiment may be configured to execute step S102 in this embodiment of the present invention, the first analyzing unit 33 in this embodiment may be configured to execute step S104 in this embodiment of the present invention, and the first sending unit 35 in this embodiment may be configured to execute step S106 in this embodiment of the present invention. The modules are the same as the corresponding steps in the realized examples and application scenarios, but are not limited to the disclosure of the above embodiments.
As an alternative embodiment, the apparatus may further include: the second acquisition unit is used for acquiring third operation data of the monitoring system after analyzing the second operation data of the monitored system through the first operation data, wherein the third operation data is a parameter which dynamically changes when the monitoring system operates; and the first determining unit is used for inputting the third operating data and the second operating data into the neural network model to determine fourth operating data, wherein the fourth operating data is used for adjusting the currently operating third operating data by the monitoring system.
As an alternative embodiment, the apparatus may further include: and the display unit is used for displaying alarm information under the condition that the difference value between the second operation data and the first operation data currently operated by the monitored system is greater than a preset threshold value after the second operation data of the monitored system is analyzed through the first operation data, wherein the alarm information carries a difference list of the second operation data and the first operation data.
As an alternative embodiment, the apparatus may further include: the second determining unit is used for determining the target parameters of the monitored system operation target events before the first operation data of the monitoring system is acquired; the third acquisition unit is used for acquiring target operation data for operating the target event, wherein the first operation data comprises the target operation data; the second analysis unit is used for analyzing fifth operation data of the monitored system through the target operation data; and the second sending unit is used for sending the fifth operation data to the monitored system so that the monitored system adjusts the currently operated target operation data.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, where the program when executed controls a device on which the storage medium is located to perform the following operations: acquiring first operation data of the monitored system in current operation, wherein the first operation data are parameters which dynamically change when the monitored system operates; analyzing second operation data of the monitored system through the first operation data; and sending the second operation data to the monitored system so that the monitored system adjusts the currently operated first operation data.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes the following operations: acquiring first operation data of the monitored system in current operation, wherein the first operation data are parameters which dynamically change when the monitored system operates; analyzing second operation data of the monitored system through the first operation data; and sending the second operation data to the monitored system so that the monitored system adjusts the currently operated first operation data.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A method for adjusting parameters, comprising:
acquiring first operation data of a monitored system in current operation, wherein the first operation data are parameters which dynamically change when the monitored system operates;
analyzing second operation data of the monitored system through the first operation data;
and sending the second operation data to the monitored system so that the monitored system adjusts the currently operated first operation data.
2. The method of claim 1, wherein after analyzing second operational data of the monitored system from the first operational data, the method further comprises:
acquiring third operation data of a monitoring system, wherein the third operation data is a parameter which dynamically changes when the monitoring system operates;
and inputting the third operation data and the second operation data into a neural network model to determine fourth operation data, wherein the fourth operation data is used for the monitoring system to adjust the currently operated third operation data.
3. The method of claim 1, wherein after analyzing second operational data of the monitored system from the first operational data, the method further comprises:
and displaying alarm information under the condition that the difference value between the second operation data and the first operation data currently operated by the monitored system is greater than a preset threshold, wherein the alarm information carries a difference list of the second operation data and the first operation data.
4. The method of claim 1, wherein prior to obtaining the first operational data of the monitoring system, the method further comprises:
determining target parameters of the monitored system for operating target events;
acquiring target operation data for operating the target event, wherein the first operation data comprises the target operation data;
analyzing fifth operation data of the monitored system according to the target operation data;
and sending the fifth operation data to the monitored system so that the monitored system adjusts the currently operated target operation data.
5. An apparatus for adjusting a parameter, comprising:
the monitoring system comprises a first acquisition unit, a second acquisition unit and a monitoring unit, wherein the first acquisition unit is used for acquiring first operation data of the monitored system in current operation, and the first operation data is a parameter which dynamically changes when the monitored system operates;
the first analysis unit is used for analyzing second operation data of the monitored system through the first operation data;
and the first sending unit is used for sending the second operation data to the monitored system so as to enable the monitored system to adjust the currently operated first operation data.
6. The apparatus of claim 5, further comprising:
the second acquisition unit is used for acquiring third operating data of the monitoring system after analyzing second operating data of the monitored system through the first operating data, wherein the third operating data is a parameter which dynamically changes when the monitoring system operates;
the first determining unit is configured to input the third operating data and the second operating data into a neural network model to determine fourth operating data, where the fourth operating data is used by the monitoring system to adjust the currently operating third operating data.
7. The apparatus of claim 5, further comprising:
the display unit is used for displaying alarm information under the condition that a difference value between the second operation data and the first operation data currently operated by the monitored system is larger than a preset threshold value after the second operation data of the monitored system is analyzed through the first operation data, wherein the alarm information carries a difference list of the second operation data and the first operation data.
8. The apparatus of claim 5, further comprising:
the second determining unit is used for determining the target parameters of the monitored system operation target events before acquiring the first operation data of the monitoring system;
a third obtaining unit, configured to obtain target operation data for operating the target event, where the first operation data includes the target operation data;
the second analysis unit is used for analyzing fifth operation data of the monitored system according to the target operation data;
and the second sending unit is used for sending the fifth operation data to the monitored system so as to enable the monitored system to adjust the currently operated target operation data.
9. A storage medium, comprising a stored program, wherein the program, when executed, controls an apparatus in which the storage medium is located to perform the method of any one of claims 1 to 4.
10. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 4.
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| CN115996146A (en) * | 2022-12-19 | 2023-04-21 | 华中科技大学 | Numerical control system security situation sensing and analyzing system, method, equipment and terminal |
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