CN106909974B - Method, data analyzer and system for analyzing multi-terminal state - Google Patents
Method, data analyzer and system for analyzing multi-terminal state Download PDFInfo
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- CN106909974B CN106909974B CN201510969827.8A CN201510969827A CN106909974B CN 106909974 B CN106909974 B CN 106909974B CN 201510969827 A CN201510969827 A CN 201510969827A CN 106909974 B CN106909974 B CN 106909974B
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Abstract
The invention discloses a method, a data analyzer and a system for analyzing the state of multiple terminals. The method comprises the following steps: acquiring operation data of various terminals, wherein the operation data comprises power factors of the various terminals; acquiring threshold data of various terminals according to the operating data; acquiring state analysis results of various terminals according to the threshold data and the incidence relation among the various terminals; and reporting the operation data and the state analysis result to a monitoring platform. The invention monitors various indexes of various terminals based on the single-phase power factor fluctuation real-time monitoring technology, carries out comprehensive safety threshold value digital analysis on the states of the multiple terminals, and can be applied to the use scenes of remote maintenance of the various terminals, thereby solving the problems of remote monitoring and fault judgment of the multi-node terminal and effectively reducing the trouble of checking and maintaining to the site.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a method, a data analyzer and a system for analyzing multi-terminal states.
Background
In a typical application scenario, an increasing number of terminals require a lot of manpower to maintain, which is a challenge for operators. Most of the reasons for these failures are simply human negligence, such as not powering on. More and more customers have terminals with a plurality of nodes, the difficulty of remote fault judgment is increased virtually, and maintenance personnel have to go to the site to check. If there is an effective way to remotely determine the fault, it is less to look at the human site, which will reduce a lot of human costs for the operator.
At present, the existing mode is basically a scheme of simply monitoring voltage and power and giving out simple states such as power failure and the like, and the existing mode cannot meet the requirement at all.
Disclosure of Invention
In view of the above technical problems, the present invention provides a method, a data analyzer and a system for analyzing multi-terminal states, which are used in a usage scenario of remote maintenance of multiple terminals, solve the problems of remote monitoring and multi-node terminal fault judgment, and effectively reduce the trouble of checking and maintaining to the site.
According to an aspect of the present invention, there is provided a method for analyzing a multi-terminal state, including:
acquiring operation data of various terminals, wherein the operation data comprises power factors of the various terminals;
acquiring threshold data of various terminals according to the operating data;
acquiring state analysis results of various terminals according to the threshold data and the incidence relation among the various terminals;
and reporting the operation data and the state analysis result to a monitoring platform.
In an embodiment of the present invention, the step of obtaining the state analysis results of the plurality of types of terminals according to the threshold data and the association relationship between the plurality of types of terminals includes:
comparing the threshold data with preset threshold intervals of various terminals in a threshold library to determine the threshold intervals in which the various terminals are located currently;
associating the threshold intervals in which the various terminals are currently located according to the terminal relations among the various terminals prestored in the terminal relation library;
and comparing the correlation result with a state library to generate state results of various terminals, wherein the state library stores a corresponding relation between the correlation result of the threshold interval and the terminal state in advance, and the state analysis result comprises the state result.
In one embodiment of the present invention, after the step of generating the state results of the plurality of terminals, the method further comprises:
and inquiring the fault reason generating the state result from a fault library, wherein the fault library stores the corresponding relation between various state results and the fault reason in advance, and the state analysis result comprises the fault reason generating the state result.
In one embodiment of the invention, the step of comparing the correlation result with the state library comprises:
extracting the characteristics of the correlation result to generate a characteristic group;
and comparing the characteristic group with a state library to generate state results of various terminals.
In an embodiment of the present invention, after the step of determining the threshold intervals in which the plurality of terminals are currently located, the method further includes:
judging whether the current threshold value intervals of the various terminals are the same as the pre-stored reference threshold value intervals of the various terminals;
if the current threshold value intervals of the various terminals are the same as the pre-stored reference threshold value intervals of the various terminals, reporting the operation data and the pre-stored reference state analysis result to a monitoring platform;
and if the current threshold value intervals of the various terminals are different from the pre-stored reference threshold value intervals of the various terminals, executing a step of associating the current threshold value intervals of the various terminals according to the terminal relationship among the various terminals pre-stored in the terminal relationship library.
According to another aspect of the present invention, there is provided a data analyzer for analyzing a multi-terminal state, comprising a data acquisition module, a threshold acquisition module, a state acquisition module, and a data transmission module, wherein:
the data acquisition module is used for acquiring the operation data of various terminals, wherein the operation data comprises the power factors of the various terminals;
the threshold acquisition module is used for acquiring threshold data of various terminals according to the operation data;
the state acquisition module is used for acquiring state analysis results of various terminals according to the threshold data and the incidence relation among the various terminals;
and the data transmission module reports the running data and the state analysis result to a monitoring platform.
In an embodiment of the present invention, the state obtaining module includes an interval determining unit, an interval associating unit, and a state determining unit, wherein:
the interval determining unit is used for comparing the threshold data with preset threshold intervals of various terminals in a threshold library and determining the current threshold intervals of the various terminals;
the interval association unit is used for associating the threshold intervals in which the various terminals are currently located according to the terminal relationships among the various terminals prestored in the terminal relationship library;
and the state determining unit is used for comparing the correlation result with a state library to generate state results of various terminals, wherein the state library stores the corresponding relation between the correlation result of the threshold interval and the terminal state in advance, and the state analysis result comprises the state result.
In an embodiment of the present invention, the state acquisition module further includes a cause determination unit, wherein:
and the reason determining unit is used for inquiring the fault reason generating the state result from a fault library, wherein the fault library stores the corresponding relation between various state results and the fault reason in advance, and the state analysis result comprises the fault reason generating the state result.
In one embodiment of the present invention, the state determination unit includes an extraction submodule and an alignment submodule, wherein:
the extraction submodule is used for extracting the characteristics of the correlation result and extracting to generate a characteristic group;
and the comparison submodule is used for comparing the characteristic group with the state library so as to generate state results of various terminals.
In one embodiment of the present invention, the state acquisition module further includes an identification unit, wherein:
the identification unit is used for judging whether the threshold intervals of the various terminals are the same as the reference threshold intervals of the various terminals which are prestored after the interval determination unit determines the threshold intervals of the various terminals; if the current threshold value intervals of the various terminals are the same as the pre-stored reference threshold value intervals of the various terminals, indicating a data transmission module to report the operation data and the pre-stored reference state analysis result to a monitoring platform; and if the current threshold value intervals of the various terminals are different from the pre-stored reference threshold value intervals of the various terminals, instructing an interval association unit to execute an operation of associating the current threshold value intervals of the various terminals according to the terminal relations among the various terminals pre-stored in the terminal relation library.
According to another aspect of the present invention, there is provided a system for analyzing a multi-terminal status, comprising a data analyzer and a monitoring platform, wherein:
a data analyzer for analyzing the multi-terminal state as described in any of the above embodiments;
and the monitoring platform is used for receiving and displaying the operation data and the state analysis results of the various terminals reported by the data analyzer.
In one embodiment of the invention, the monitoring platform is further configured to upgrade the predetermined algorithm and database of the data analyzer based on the historical data.
The invention monitors various indexes of various terminals based on the single-phase power factor fluctuation real-time monitoring technology, carries out comprehensive safety threshold value digital analysis on the states of the multiple terminals, and can be applied to the use scenes of remote maintenance of the various terminals, thereby solving the problems of remote monitoring and fault judgment of the multi-node terminal and effectively reducing the trouble of checking and maintaining to the site.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic diagram of an embodiment of a method for analyzing a multi-terminal state according to the present invention.
Fig. 2 is a schematic diagram illustrating a state analysis result of multiple terminals obtained according to the threshold data and the association relationship between the multiple terminals in one embodiment of the present invention.
FIG. 3 is a diagram of an embodiment of a data analyzer for analyzing multi-terminal states according to the present invention.
Fig. 4 is a schematic diagram of a status acquisition module according to an embodiment of the present invention.
Fig. 5 is a schematic diagram of a state determination unit in an embodiment of the invention.
Fig. 6 is a diagram illustrating an embodiment of a system for analyzing the status of multiple terminals according to the present invention.
Detailed Description
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. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses. 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.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Fig. 1 is a schematic diagram of an embodiment of a method for analyzing a multi-terminal state according to the present invention. Preferably, this embodiment can be performed by the data analyzer for analyzing the multi-terminal state of the present invention. The method comprises the following steps:
And 102, processing the operation data by adopting a preset algorithm, and converting the operation data into threshold data of various terminals.
And 103, acquiring state analysis results of the various terminals according to the threshold data and the incidence relation among the various terminals.
And step 104, reporting the operation data and the state analysis result to a monitoring platform.
Based on the method for analyzing the multi-terminal state provided by the embodiment of the invention, various indexes (operation data) of various terminals are monitored based on a single-phase power factor fluctuation real-time monitoring technology, and the multi-terminal state is analyzed digitally by a comprehensive safety threshold, so that the method can be applied to the use scene of remote maintenance of various terminals, thereby solving the problems of remote monitoring and multi-node terminal fault judgment and effectively reducing the trouble of checking and maintaining to the site.
Fig. 2 is a schematic diagram illustrating a state analysis result of multiple terminals obtained according to the threshold data and the association relationship between the multiple terminals in one embodiment of the present invention. Preferably, this embodiment can be executed by the state acquisition module in the data analyzer for analyzing the multi-terminal state according to the present invention. As shown in fig. 2, step 103 described in fig. 1 may include:
For example: for the television, the threshold library of the data analyzer stores preset threshold intervals such as a static threshold, a dynamic threshold, a standby threshold, a failure threshold, etc. of the television in advance, and can determine which preset threshold interval the current threshold data of the television falls into through comparison, where the preset threshold interval is the threshold interval in which the television is currently located.
In an embodiment of the present invention, the reference threshold intervals in which the multiple terminals are located may be pre-stored threshold intervals in which the multiple terminals are normally located, or pre-stored threshold intervals in which the multiple terminals are located when the multiple terminals are detected last time.
In an embodiment of the present invention, if the reference threshold intervals in which the multiple terminals are located are pre-stored threshold intervals in which the multiple terminals are located under the normal condition, the pre-stored reference state analysis result is a state analysis result in which the multiple terminals are located under the normal condition.
In an embodiment of the present invention, if the reference threshold intervals in which the multiple terminals are located are pre-stored threshold intervals in which the multiple terminals are located when detected last time, the pre-stored reference state analysis result is the state analysis result in which the multiple terminals are located when detected last time, accordingly.
And 204, associating the threshold intervals where the various terminals are currently located according to the terminal relations among the various terminals prestored in the terminal relation library.
In one embodiment of the invention, the method further comprises: the terminal relations among various terminals are prestored in a terminal relation library, for example: the television is associated with the set-top box; the gateway is associated with the wireless AP; multiple sensors are associated with the concentrator.
In one embodiment of the present invention, step 204 may comprise: and associating the threshold value interval in which each group of associated terminals is currently located according to the terminal relationship among the various terminals prestored in the terminal relationship library. For example: associating the current threshold intervals of the television and the set top box to obtain a standby threshold of the television; and meanwhile, the correlation result of the set top box non-starting threshold value is obtained.
In an embodiment of the present invention, the state of each of the plurality of terminals includes a plurality of states such as standby, hardware failure, power off, data exception, and the like, in addition to the two basic power off and normal states.
In one embodiment of the present invention, the step of comparing the correlation result with the state library in step 205 may comprise:
and step 2051, extracting the features of the correlation result to generate a feature group. For example: may be selected from "the television is at standby threshold; meanwhile, the characteristics of television, standby, set-top box, non-power-on and the like are extracted from the correlation result of the non-power-on threshold of the set-top box, and a characteristic group is formed.
And step 2052, comparing the feature group with a state library to generate state results of various terminals. For example: comparing the feature groups of 'television', 'standby', 'set-top box' and 'off-line' with the state library, the state result of 'television no-signal standby' can be generated.
For example: according to the state result of 'no signal standby' of the television and the characteristic values of 'set top box' and 'no power on', the fault library is inquired to determine the fault reason of the state result: the set-top box is not powered on.
The embodiment of the invention can calculate the safety threshold according to a plurality of groups of data of various indexes such as power factors of various terminals, and comprehensively judge different running states of the corresponding terminals and fault reasons of multiple nodes according to the incidence relation among the terminals. The method can be suitable for remote fault judgment of the terminal, particularly remote fault judgment of terminal equipment with multiple nodes and association relation, such as fault judgment of the problem that the set top box and the television cannot play programs, such as fault judgment of 'multi-sensor + concentrator', and the like, such as fault judgment of 'gateway + wireless AP' which cannot surf the internet.
In one embodiment of the present invention, step 206 may comprise:
1. and judging whether the fault reason generating the state result can be inquired from a fault library.
2. And if the fault reason generating the state result can be inquired from the fault library, the fault reason and the state result are taken as the state analysis result and sent to a monitoring platform.
3. If the fault reason generating the state result cannot be inquired from the fault library, namely the fault reason corresponding to the state result does not exist in the fault library, comprehensively judging the fault reason corresponding to the state result through the state result, the association result and the feature set of the association result, sending the state result and the fault reason corresponding to the state result to a monitoring platform, and simultaneously adding the corresponding relation between the state result and the fault reason into the fault library.
For example, the present invention may be implemented by analyzing "the television is at a standby threshold; meanwhile, the correlation result of the set-top box non-starting threshold value and the state result of the television no-signal standby state are comprehensively analyzed to determine that the set-top box non-starting state is the cause of the television no-signal standby state; and then sending the state result of the television no-signal standby and the fault generation reason of the set-top box not being started to a monitoring platform, establishing a corresponding relation between the state result of the television no-signal standby and the fault generation reason of the set-top box not being started, and adding the corresponding relation into a fault library.
Therefore, the embodiment of the invention can realize the analysis and determination of the fault result, and simultaneously, the embodiment of the invention can also realize the dynamic update of the fault library.
In another embodiment of the present invention, the method may further include: and if the fault reason generating the state result cannot be inquired from the fault library, namely the fault reason corresponding to the state result does not exist in the fault library, sending the state result, the association result and the feature set of the association result to a monitoring platform so that the monitoring platform comprehensively judges the fault reason corresponding to the state result through the state result, the association result and the feature set of the association result and returns the corresponding relation of the state result and the fault reason to a fault analyzer to update the fault library.
In the above embodiment of the present invention, the monitoring platform may mainly analyze the cause of the fault, perform comprehensive evaluation on the accumulated data, and continuously modify the relevant predetermined algorithm and database (e.g., fault database, terminal relation database, status database, threshold database, etc.) of the "data analyzer".
In one embodiment of the invention, the power factors of different terminal devices are empirical values, and in the technical scheme, the empirical values are used as the basis, and then the comprehensive analysis result of a large data platform is used as correction.
In one embodiment of the present invention, the predetermined algorithm and the contents of the various libraries used to obtain the threshold data are also empirical values, and the results of the large data platform analysis are corrected based on the empirical values.
The embodiment of the invention can effectively save the maintenance manpower of the terminal, and is beneficial to the development of the M2M (Machine to Machine) service of the operator. The embodiment of the invention can also be extended to remote monitoring and fault judgment of various M2M terminals, such as temperature and humidity monitoring, gas monitoring, positioning monitoring, camera monitoring and the like.
FIG. 3 is a diagram of an embodiment of a data analyzer for analyzing multi-terminal states according to the present invention. As shown in fig. 3, the data analyzer includes a data acquisition module 100, a threshold acquisition module 200, a status acquisition module 300, and a data transmission module 400, wherein:
the data acquisition module 100 is configured to acquire operation data of a plurality of terminals, where the operation data includes power factors of the plurality of terminals.
A threshold obtaining module 200, configured to obtain threshold data of multiple terminals according to the operation data.
A state obtaining module 300, configured to obtain state analysis results of multiple terminals according to the threshold data and association relationships between the multiple terminals;
and the data transmission module 400 reports the operation data and the state analysis result to the monitoring platform.
The data analyzer for analyzing the multi-terminal state provided by the embodiment of the invention monitors various indexes of various terminals based on the single-phase power factor fluctuation real-time monitoring technology, and carries out the digital analysis of the multi-terminal state by the comprehensive safety threshold, so that the data analyzer can be applied to the use scene of remote maintenance of various terminals, thereby solving the problems of remote monitoring and multi-node terminal fault judgment and effectively reducing the trouble of checking and maintaining to the site.
Fig. 4 is a schematic diagram of a status acquisition module according to an embodiment of the present invention. As shown in fig. 4, the state acquiring module 300 in fig. 3 may include an interval determining unit 310, an interval associating unit 320, and a state determining unit 330, where:
an interval determining unit 310, configured to compare the threshold data with predetermined threshold intervals of multiple terminals in a threshold library, and determine a threshold interval in which the multiple terminals are currently located;
an interval association unit 320, configured to associate threshold intervals in which multiple terminals are currently located according to terminal relationships among multiple terminals pre-stored in the terminal relationship library;
a state determining unit 330, configured to compare the correlation result with a state library to generate state results of multiple terminals, where a corresponding relationship between the correlation result of the threshold interval and the terminal state is stored in the state library in advance; and sends the status result to the data transmission module 400, so that the data transmission module 400 sends the status result to the monitoring platform as a part of the status analysis result.
In one embodiment of the present invention, as shown in fig. 5, the state determination unit 330 may include an extraction sub-module 331 and a comparison sub-module 332, wherein:
the extraction submodule 331 is configured to perform feature extraction on the correlation result, and extract a feature group;
a comparison sub-module 332, configured to compare the feature group with the state library to generate state results of multiple terminals.
In an embodiment of the present invention, as shown in fig. 4, the status obtaining module 300 may further include a reason determining unit 340, wherein:
a cause determining unit 340, configured to query a failure cause generating the state result from a failure library, where the failure library stores in advance a corresponding relationship between various state results and failure causes; and sends the fault cause to the data transmission module 400, so that the data transmission module 400 sends the fault cause to the monitoring platform as a part of the state analysis result.
The embodiment of the invention can calculate the safety threshold according to a plurality of groups of data of various indexes such as power factors of various terminals, and comprehensively judge different running states of the corresponding terminals and fault reasons of multiple nodes according to the incidence relation among the terminals. The method can be suitable for remote fault judgment of the terminal, particularly remote fault judgment of terminal equipment with multiple nodes and association relation, such as fault judgment of the problem that the set top box and the television cannot play programs, such as fault judgment of 'multi-sensor + concentrator', and the like, such as fault judgment of 'gateway + wireless AP' which cannot surf the internet.
In an embodiment of the present invention, as shown in fig. 4, the status obtaining module 300 may further include an identifying unit 350, wherein:
an identifying unit 350, configured to determine whether the threshold intervals in which the multiple types of terminals are currently located are the same as reference threshold intervals in which the multiple types of terminals are pre-stored after the interval determining unit 310 determines the threshold intervals in which the multiple types of terminals are currently located; if the current threshold value intervals of the various terminals are the same as the pre-stored reference threshold value intervals of the various terminals, instructing the data transmission module 400 to report the operation data and the pre-stored reference state analysis result to the monitoring platform; if the threshold intervals in which the multiple terminals are currently located are not the same as the reference threshold intervals in which the multiple terminals are pre-stored, the interval association unit 320 is instructed to perform an operation of associating the threshold intervals in which the multiple terminals are currently located according to the terminal relationships between the multiple terminals pre-stored in the terminal relationship library.
In the above embodiment of the present invention, when the current threshold value intervals of the multiple terminals are the same as the pre-stored reference threshold value intervals of the multiple terminals, the state analysis of the terminals is not performed, and the reference state analysis result is directly reported to the monitoring platform, so that the system consumption is saved, and the efficiency of the state analysis is greatly improved.
In an embodiment of the present invention, the cause determining unit 340 may be further configured to, when the fault cause generating the state result cannot be queried from the fault library, that is, when the fault cause corresponding to the state result does not exist in the fault library, obtain the fault cause corresponding to the state result by performing comprehensive judgment on the state result, the association result, and the feature set of the association result, send the state result and the fault cause corresponding to the state result to the monitoring platform, and add the corresponding relationship between the state result and the fault cause to the fault library.
Therefore, the embodiment of the invention can realize the analysis and determination of the fault result, and simultaneously, the embodiment of the invention can also realize the dynamic update of the fault library.
In another embodiment of the present invention, the data transmission module 400 may be further configured to, when the cause determining unit cannot query the fault cause generating the state result from the fault library, that is, when the fault cause corresponding to the state result does not exist in the fault library, send the state result, the association result, and the feature set of the association result to the monitoring platform, so that the monitoring platform comprehensively determines the fault cause corresponding to the state result through the state result, the association result, and the feature set of the association result, and return the corresponding relationship between the state result and the fault cause to the fault analyzer to update the fault library.
In the above embodiment of the present invention, the monitoring platform may mainly analyze the cause of the fault and perform comprehensive evaluation on the accumulated data, so as to continuously modify the relevant predetermined algorithm and database (e.g., fault database, terminal relation database, status database, threshold database, etc.) of the "data analyzer".
Fig. 6 is a diagram illustrating an embodiment of a system for analyzing the status of multiple terminals according to the present invention. The system comprises a data analyzer 10 and a monitoring platform 20, wherein:
the data analyzer 10 is a data analyzer for analyzing the states of the plurality of terminals 30 as described in any of the above embodiments.
In one embodiment of the present invention, there may be more than one of each of the plurality of terminals 30. For example, the invention can realize the monitoring and analysis of the states of a plurality of televisions, a plurality of gateways, a plurality of set-top boxes and other terminals.
In one embodiment of the present invention, the data analyzer 10 may provide a comprehensive analysis of the indices of various terminal single-phase voltages, currents, power factors, etc., implementing a digital analysis of the safety threshold according to a predetermined algorithm, resulting in a variety of different state judgments. Under the two basic states of power-off and normal, the analysis of various states of standby, hardware fault, no power-on, data abnormity and the like is expanded.
And the monitoring platform 20 is used for receiving and displaying the operation data and the state analysis results of the various terminals reported by the data analyzer.
In one embodiment of the present invention, the monitoring platform 20 may be connected to the data analyzer 10 via the internet.
In one embodiment of the present invention, the monitoring platform 20 may be further configured to upgrade the predetermined algorithm and database of the data analyzer according to the historical data, wherein the database includes a fault database, a terminal relation database, a status database, a threshold database, and the like.
In one embodiment of the invention, a big data analysis module is additionally arranged on the side of the monitoring platform, the monitoring platform records all terminal data, and managers can see the states of all terminal equipment at a glance; the monitoring platform mainly analyzes the cause of the fault, comprehensively evaluates the accumulated data, and continuously corrects the predetermined algorithm and the database of the data analyzer 10.
Based on the system for analyzing the multi-terminal state provided by the embodiment of the invention, various indexes of various terminals are monitored based on a single-phase power factor fluctuation real-time monitoring technology, the multi-terminal state is analyzed in a digital mode through a comprehensive safety threshold, and faults can be judged by monitoring and analyzing various indexes of various terminals, so that the system can be applied to the use scene of remote maintenance of various terminals, the problems of remote monitoring and fault judgment of multi-node terminals are solved, and the trouble of checking and maintaining to the site is effectively reduced.
The functional units of the threshold acquisition module 200, the state acquisition module 300, and the like described above may be implemented as a general purpose processor, a Programmable Logic Controller (PLC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any suitable combination thereof, for performing the functions described herein.
Thus far, the present invention has been described in detail. Some details well known in the art have not been described in order to avoid obscuring the concepts of the present invention. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The description of the present invention has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (10)
1. A method for analyzing a multi-terminal state, comprising:
acquiring operation data of various terminals, wherein the operation data comprises power factors of the various terminals;
acquiring threshold data of various terminals according to the operating data;
acquiring state analysis results of various terminals according to the threshold data and the incidence relation among the various terminals;
reporting the operation data and the state analysis result to a monitoring platform;
the step of obtaining the state analysis results of the various terminals according to the threshold data and the incidence relation among the various terminals includes:
comparing the threshold data with preset threshold intervals of various terminals in a threshold library to determine the threshold intervals in which the various terminals are located currently;
associating the threshold intervals in which the various terminals are currently located according to the terminal relations among the various terminals prestored in the terminal relation library;
and comparing the correlation result with a state library to generate state results of various terminals, wherein the state library stores a corresponding relation between the correlation result of the threshold interval and the terminal state in advance, and the state analysis result comprises the state result.
2. The method of claim 1, wherein the step of generating the state results for the plurality of terminals is followed by:
and inquiring the fault reason generating the state result from a fault library, wherein the fault library stores the corresponding relation between various state results and the fault reason in advance, and the state analysis result comprises the fault reason generating the state result.
3. The method of claim 1, wherein the step of comparing the correlation result with a state library comprises:
extracting the characteristics of the correlation result to generate a characteristic group;
and comparing the characteristic group with a state library to generate state results of various terminals.
4. The method according to any of claims 1-3, wherein after the step of determining the threshold interval in which the plurality of terminals are currently located, the method further comprises:
judging whether the current threshold value intervals of the various terminals are the same as the pre-stored reference threshold value intervals of the various terminals;
if the current threshold value intervals of the various terminals are the same as the pre-stored reference threshold value intervals of the various terminals, reporting the operation data and the pre-stored reference state analysis result to a monitoring platform;
and if the current threshold value intervals of the various terminals are different from the pre-stored reference threshold value intervals of the various terminals, executing a step of associating the current threshold value intervals of the various terminals according to the terminal relationship among the various terminals pre-stored in the terminal relationship library.
5. A data analyzer for analyzing multi-terminal states, comprising a data acquisition module, a threshold acquisition module, a state acquisition module and a data transmission module, wherein:
the data acquisition module is used for acquiring the operation data of various terminals, wherein the operation data comprises the power factors of the various terminals;
the threshold acquisition module is used for acquiring threshold data of various terminals according to the operation data;
the state acquisition module is used for acquiring state analysis results of various terminals according to the threshold data and the incidence relation among the various terminals;
the data transmission module reports the running data and the state analysis result to a monitoring platform;
the state acquisition module comprises an interval determination unit, an interval association unit and a state determination unit, wherein:
the interval determining unit is used for comparing the threshold data with preset threshold intervals of various terminals in a threshold library and determining the current threshold intervals of the various terminals;
the interval association unit is used for associating the threshold intervals in which the various terminals are currently located according to the terminal relationships among the various terminals prestored in the terminal relationship library;
and the state determining unit is used for comparing the correlation result with a state library to generate state results of various terminals, wherein the state library stores the corresponding relation between the correlation result of the threshold interval and the terminal state in advance, and the state analysis result comprises the state result.
6. The data analyzer of claim 5, wherein the status acquisition module further comprises a cause determination unit, wherein:
and the reason determining unit is used for inquiring the fault reason generating the state result from a fault library, wherein the fault library stores the corresponding relation between various state results and the fault reason in advance, and the state analysis result comprises the fault reason generating the state result.
7. The data analyzer of claim 5, wherein the status determination unit comprises an extraction sub-module and an alignment sub-module, wherein:
the extraction submodule is used for extracting the characteristics of the correlation result and extracting to generate a characteristic group;
and the comparison submodule is used for comparing the characteristic group with the state library so as to generate state results of various terminals.
8. The data analyzer of any of claims 5-7, wherein the state acquisition module further comprises an identification unit, wherein:
the identification unit is used for judging whether the threshold intervals of the various terminals are the same as the reference threshold intervals of the various terminals which are prestored after the interval determination unit determines the threshold intervals of the various terminals; if the current threshold value intervals of the various terminals are the same as the pre-stored reference threshold value intervals of the various terminals, indicating a data transmission module to report the operation data and the pre-stored reference state analysis result to a monitoring platform; and if the current threshold value intervals of the various terminals are different from the pre-stored reference threshold value intervals of the various terminals, instructing an interval association unit to execute an operation of associating the current threshold value intervals of the various terminals according to the terminal relations among the various terminals pre-stored in the terminal relation library.
9. A system for analyzing the status of a multi-terminal comprising a data analyzer and a monitoring platform, wherein:
a data analyzer for analyzing a multi-terminal state according to any one of claims 5 to 8;
and the monitoring platform is used for receiving and displaying the operation data and the state analysis results of the various terminals reported by the data analyzer.
10. The system of claim 9,
the monitoring platform is also used for upgrading a predetermined algorithm and a database of the data analyzer according to the historical data.
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| CN109034629A (en) * | 2018-08-01 | 2018-12-18 | 北京电子工程总体研究所 | A kind of analysis method and system for evaluating Combat Command System multivariate information fusion performance |
| CN109696894B (en) * | 2018-12-30 | 2020-10-27 | 联想(北京)有限公司 | Production line state judgment method and device |
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