CN116302663B - Remote control method and system for internal computer module of interactive intelligent tablet - Google Patents
Remote control method and system for internal computer module of interactive intelligent tablet Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0748—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a remote unit communicating with a single-box computer node experiencing an error/fault
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/079—Root cause analysis, i.e. error or fault diagnosis
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention relates to the field of artificial intelligence, and discloses a remote control method and a remote control system for an internal computer module of an interactive intelligent tablet personal computer, which are used for realizing remote control of the intelligent tablet personal computer and improving the detection accuracy of the intelligent tablet personal computer. The method comprises the following steps: performing operation detection on a plurality of internal computer modules in the target intelligent panel to obtain operation detection data; inputting operation detection data into a fault data analysis model to perform fault type analysis to obtain a fault information type; according to the fault information type, analyzing the module interaction relationship of a plurality of internal computer modules to obtain module interaction data; module grouping is carried out on a plurality of internal computer modules of the intelligent flat panel according to the module interaction data, so that a first interaction module set and a second interaction module set are obtained; and according to the first interaction module set and the second interaction module set, performing fault positioning on the target intelligent flat panel to obtain a target fault computer module.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to a remote control method and a remote control system for an interactive intelligent tablet internal computer module.
Background
Along with the high-speed development of artificial intelligence technology, the intelligent flat plate technology is gradually mature, and the intelligent flat plate integrates the functions of a computer, a television and the like, is widely applied to the fields of education and teaching, enterprise conferences, business display and the like, and can effectively improve the communication environment and promote the group communication efficiency.
However, in the existing scheme, the fault detection is usually performed on the internal computer module of the intelligent panel by using manpower, and the manual detection mode greatly depends on manual experience, so that the detection accuracy of the intelligent panel is lower.
Disclosure of Invention
The invention provides a remote control method and a remote control system for an internal computer module of an interactive intelligent tablet, which are used for realizing remote control of the intelligent tablet and improving the detection accuracy of the intelligent tablet.
The first aspect of the present invention provides a remote control method for an interactive intelligent tablet internal computer module, where the remote control method for the interactive intelligent tablet internal computer module includes:
receiving a remote control instruction sent by a detection terminal, establishing remote control connection for a target intelligent panel according to the remote control instruction, and obtaining control states of the detection terminal and the target intelligent panel;
according to the control state, a fault detection instruction is issued to the target intelligent panel, and operation detection is carried out on a plurality of internal computer modules in the target intelligent panel according to the fault detection instruction, so that operation detection data are obtained;
inputting the operation detection data into a preset fault data analysis model to perform fault type analysis to obtain a fault information type;
according to the fault information type, analyzing the module interaction relationship of the plurality of internal computer modules to obtain module interaction data;
the method comprises the steps of carrying out module grouping on a plurality of internal computer modules of the intelligent tablet according to module interaction data to obtain a first interaction module set and a second interaction module set, wherein the first interaction module set is a plurality of internal computer modules with module interaction relations, and the second interaction module set is a plurality of internal computer modules without module interaction relations;
and according to the first interaction module set and the second interaction module set, performing fault positioning on the target intelligent flat panel to obtain a target fault computer module.
With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the receiving a remote control instruction sent by a detection terminal, and establishing a remote control connection to a target intelligent tablet according to the remote control instruction, to obtain control states of the detection terminal and the target intelligent tablet includes:
receiving a remote control instruction sent by a detection terminal, and analyzing the remote control instruction to obtain a connection mode and an instruction transmission channel;
according to the connection mode, matching the detection terminal with a target intelligent panel to be detected, and establishing remote connection between the detection terminal and the target intelligent panel;
according to the instruction transmission channel, acquiring control states of the detection terminal and the target intelligent panel, wherein the control states comprise: control connection success and control connection failure.
With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, according to the control state, issuing a fault detection instruction to the target intelligent tablet, and performing operation detection on a plurality of internal computer modules in the target intelligent tablet according to the fault detection instruction, to obtain operation detection data, where the operation detection data includes:
when the control state is that the control connection is successful, issuing a fault detection instruction to the target intelligent panel according to the instruction transmission channel;
performing self-checking operation on the target intelligent flat panel according to the fault detection instruction, and acquiring self-checking operation data corresponding to a plurality of internal computer modules in the target intelligent flat panel;
and carrying out data combination on the self-checking operation data corresponding to the plurality of internal computer modules to generate operation detection data.
With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, the inputting the operation detection data into a preset fault data analysis model to perform fault type analysis to obtain a fault information type includes:
performing sequence conversion on the operation detection data to obtain an operation detection sequence, and constructing an initial vector according to the operation detection sequence;
performing independent-hot vector code conversion on the initial vector to obtain a target code vector;
inputting the target coding vector into a preset fault data analysis model, and calculating a target value corresponding to the target coding vector through the fault data analysis model, wherein the fault data analysis model comprises a first layer of long-short-time memory network, a bidirectional threshold circulation network, a second layer of long-short-time memory network and a fully-connected network;
and calling a preset fault type list, and looking up a table according to the target value to obtain a fault information type corresponding to the operation detection data.
With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, according to the fault information type, performing module interaction relationship analysis on the plurality of internal computer modules to obtain module interaction data, where the module interaction data includes:
according to the fault information type, analyzing the module interaction frequency of the plurality of internal computer modules to obtain the interaction frequency of each internal computer module;
respectively converting the interaction frequency of each internal computer module into a standard value to obtain a characteristic value corresponding to each interaction frequency;
and constructing the module interaction relation among the plurality of internal computer modules according to the characteristic value corresponding to each interaction frequency to obtain module interaction data.
With reference to the first aspect, in a fifth implementation manner of the first aspect of the present invention, the grouping the modules of the plurality of internal computer modules of the smart tablet according to the module interaction data to obtain a first interaction module set and a second interaction module set includes:
constructing an interaction data topological graph of the plurality of internal computer modules according to the module interaction data;
extracting a plurality of internal computer modules with module interaction relations in the interaction data topological graph to obtain a first interaction module set;
and extracting a plurality of internal computer modules without module interaction relations in the interaction data topological graph to obtain a second interaction module set.
With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, the performing fault location on the target intelligent flat panel according to the first interaction module set and the second interaction module set to obtain a target fault computer module includes:
generating a first module position set according to the first interaction module set, and generating a plurality of second module positions through the second interaction module set respectively;
according to the first module position set, performing fault positioning on the first interaction module set to obtain a first fault computer module;
respectively carrying out fault positioning on the second interaction module set according to the position of each second module to obtain a second fault computer module;
and generating a target fault computer module according to the first fault computer module and the second fault computer module.
The second aspect of the present invention provides a remote control system of an interactive intelligent tablet internal computer module, the remote control system of the interactive intelligent tablet internal computer module comprising:
the receiving module is used for receiving a remote control instruction sent by the detection terminal, establishing remote control connection for the target intelligent flat plate according to the remote control instruction, and obtaining the control states of the detection terminal and the target intelligent flat plate;
the detection module is used for issuing a fault detection instruction to the target intelligent panel according to the control state, and performing operation detection on a plurality of internal computer modules in the target intelligent panel according to the fault detection instruction to obtain operation detection data;
the analysis module is used for inputting the operation detection data into a preset fault data analysis model to perform fault type analysis to obtain a fault information type;
the analysis module is used for analyzing the module interaction relationship of the plurality of internal computer modules according to the fault information type to obtain module interaction data;
the processing module is used for grouping the plurality of internal computer modules of the intelligent tablet according to the module interaction data to obtain a first interaction module set and a second interaction module set, wherein the first interaction module set is a plurality of internal computer modules with module interaction relations, and the second interaction module set is a plurality of internal computer modules without module interaction relations;
and the positioning module is used for performing fault positioning on the target intelligent flat panel according to the first interaction module set and the second interaction module set to obtain a target fault computer module.
In the technical scheme provided by the invention, operation detection is carried out on a plurality of internal computer modules in the target intelligent flat panel to obtain operation detection data; inputting operation detection data into a fault data analysis model to perform fault type analysis to obtain a fault information type; according to the fault information type, analyzing the module interaction relationship of a plurality of internal computer modules to obtain module interaction data; module grouping is carried out on a plurality of internal computer modules of the intelligent flat panel according to the module interaction data, so that a first interaction module set and a second interaction module set are obtained; according to the method, the target intelligent flat panel is subjected to fault positioning according to the first interaction module set and the second interaction module set to obtain the target fault computer module, remote control connection is established on the target intelligent flat panel, remote control of the intelligent flat panel is achieved, operation detection is conducted on a plurality of internal computer modules in the target intelligent flat panel in a remote control mode, the target fault computer module is analyzed, and detection accuracy of the intelligent flat panel is improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a remote control method of an interactive smart tablet internal computer module according to an embodiment of the present invention;
FIG. 2 is a flow chart of operation detection in an embodiment of the invention;
FIG. 3 is a flow chart of fault type analysis in an embodiment of the present invention;
FIG. 4 is a flow chart of module interaction relationship resolution in an embodiment of the invention;
fig. 5 is a schematic diagram of an embodiment of a remote control system of an interactive smart tablet internal computer module according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a remote control method and a remote control system for an internal computer module of an interactive intelligent tablet, which are used for realizing remote control of the intelligent tablet and improving the detection accuracy of the intelligent tablet. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation 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 or inherent to such process, method, article, or apparatus.
For easy understanding, the following describes a specific flow of an embodiment of the present invention, referring to fig. 1, and one embodiment of a remote control method for an interactive smart tablet internal computer module in an embodiment of the present invention includes:
s101, receiving a remote control instruction sent by a detection terminal, establishing remote control connection for a target intelligent panel according to the remote control instruction, and obtaining control states of the detection terminal and the target intelligent panel;
it can be appreciated that the execution subject of the present invention may be a remote control system of an internal computer module of an interactive smart tablet, and may also be a terminal or a server, which is not limited herein. The embodiment of the invention is described by taking a server as an execution main body as an example.
Specifically, the server receives a remote control instruction sent by the detection terminal, determines a connection type expected to exist when the control instruction is executed according to the control instruction, further determines the priority of the connection type, calculates a priority index corresponding to the connection type with the highest priority according to the control instruction, determines whether to execute the control instruction according to the priority index, and establishes remote control connection to the target intelligent flat panel according to the remote control instruction when the priority index meets a preset requirement to acquire the control state of the detection terminal and the target intelligent flat panel.
When the server establishes remote control connection with the target intelligent flat panel according to the remote control instruction, the server sends a remote link of the remote control connection, further executes the link, establishes the remote control connection with the target intelligent flat panel, and simultaneously acquires control states of the detection terminal and the target intelligent flat panel.
S102, issuing a fault detection instruction to a target intelligent panel according to a control state, and performing operation detection on a plurality of internal computer modules in the target intelligent panel according to the fault detection instruction to obtain operation detection data;
specifically, the server issues a fault detection instruction to the target intelligent tablet according to the control state, and then the server performs operation detection on a plurality of internal computer modules in the target intelligent tablet according to the fault detection instruction, wherein the server determines the type of operation data in the plurality of internal computer modules according to the fault detection instruction, and then the server determines composition information of detection strategy data according to current operation data, and it is required to explain that the composition information of the detection strategy data comprises instruction components, and when the instruction components are compound instructions, the detection instruction is generated according to a fault detection function and the instruction components, wherein the fault detection function is generated according to a detection result of operation data in the fault detection file, and the server performs operation detection on the plurality of internal computer modules according to the detection instruction and the composition information, so as to obtain operation detection data.
S103, inputting operation detection data into a preset fault data analysis model to perform fault type analysis to obtain a fault information type;
the server inputs the operation detection data into a preset fault data analysis model to perform fault type analysis, wherein the server determines the data type of the operation detection data, finally determines a fault analysis scheme aiming at the operation detection data according to the data type, further performs sequence conversion on the operation detection data through the fault analysis model based on the fault analysis scheme to obtain an operation detection sequence, constructs an initial vector according to the operation detection sequence, performs independent heat vector code conversion on the initial vector to obtain a target coding vector, inputs the target coding vector into the preset fault data analysis model, and calculates a target value corresponding to the target coding vector through the fault data analysis model, wherein the fault data analysis model comprises a first layer of long and short time memory network, a bidirectional threshold circulation network, a second layer of long and short time memory network and a fully connected network, and further invokes a preset fault type list according to the target value table to obtain a fault information type corresponding to the operation detection data.
S104, analyzing module interaction relations of a plurality of internal computer modules according to the fault information types to obtain module interaction data;
specifically, module interaction relation analysis is performed on a plurality of internal computer modules according to fault information types, wherein a server collects log files generated when the plurality of internal computer modules run, the log files are classified according to log transmission modes and operating system types of the plurality of internal computer modules, data transmission records are obtained, key element information extraction is performed according to analysis modes corresponding to the types of the data transmission records, data interaction records are obtained, and module interaction data among the plurality of internal computer modules are determined according to system interaction information in the data interaction records.
S105, module grouping is carried out on a plurality of internal computer modules of the intelligent flat panel according to module interaction data to obtain a first interaction module set and a second interaction module set, wherein the first interaction module set is a plurality of internal computer modules with module interaction relations, and the second interaction module set is a plurality of internal computer modules without module interaction relations;
specifically, the server constructs an interaction data topological graph of a plurality of internal computer modules according to the module interaction data, extracts a plurality of internal computer modules with module interaction relations in the interaction data topological graph to obtain a first interaction module set, extracts a plurality of internal computer modules without module interaction relations in the interaction data topological graph to obtain a second interaction module set, and the first interaction module set is a plurality of internal computer modules with module interaction relations, and the second interaction module set is a plurality of internal computer modules without module interaction relations.
S106, performing fault positioning on the target intelligent flat panel according to the first interaction module set and the second interaction module set to obtain a target fault computer module.
Specifically, it should be noted that, the interactive modules are connected with the computer through the communication interface, each interactive module is provided with a detection unit, the detection unit is configured with a fault positioning program, the fault positioning program is the same as the storage address of the basic input/output system of the computer system to be detected, after the power supply of the computer system is turned on, the fault positioning program starts to perform fault positioning on the instructions sent by each module of the computer, and finally, the target fault computer module is determined.
In the embodiment of the invention, operation detection is carried out on a plurality of internal computer modules in a target intelligent panel to obtain operation detection data; inputting operation detection data into a fault data analysis model to perform fault type analysis to obtain a fault information type; according to the fault information type, analyzing the module interaction relationship of a plurality of internal computer modules to obtain module interaction data; module grouping is carried out on a plurality of internal computer modules of the intelligent flat panel according to the module interaction data, so that a first interaction module set and a second interaction module set are obtained; according to the method, the target intelligent flat panel is subjected to fault positioning according to the first interaction module set and the second interaction module set to obtain the target fault computer module, remote control connection is established on the target intelligent flat panel, remote control of the intelligent flat panel is achieved, operation detection is conducted on a plurality of internal computer modules in the target intelligent flat panel in a remote control mode, the target fault computer module is analyzed, and detection accuracy of the intelligent flat panel is improved.
In a specific embodiment, the process of executing step S101 may specifically include the following steps:
(1) Receiving a remote control instruction sent by a detection terminal, and analyzing the remote control instruction to obtain a connection mode and an instruction transmission channel;
(2) According to the connection mode, matching the detection terminal with a target intelligent panel to be detected, and establishing remote connection between the detection terminal and the target intelligent panel;
(3) According to the instruction transmission channel, acquiring control states of the detection terminal and the target intelligent panel, wherein the control states comprise: control connection success and control connection failure.
Specifically, the server receives a remote control instruction sent by the detection terminal, and analyzes the remote control instruction to obtain a connection mode and an instruction transmission channel, where the remote control instruction carries a connection mode identifier and an instruction transmission channel identifier, further, the server obtains information corresponding to the template identifier from a pre-configured template, where the template has template configuration information, and uses the template configuration information to analyze the remote control instruction to obtain the connection mode and the instruction transmission channel, further, according to the connection mode, matches the detection terminal with a target intelligent flat plate to be detected, and establishes a remote connection with the detection terminal and the target intelligent flat plate, where the server detects a communication mode of the target intelligent flat plate, and if the communication mode of the target intelligent flat plate is a near field communication point-to-point mode, the detection terminal establishes a near field communication point-to-point connection with the target intelligent flat plate, and receives a connection request containing an identifier of the target intelligent flat plate through the near field communication point-to-point connection, and obtains a control state of the detection terminal and the target intelligent flat plate based on the instruction transmission channel according to the identifier, where the control state includes: control connection success and control connection failure.
In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:
s201, when the control state is that the control connection is successful, issuing a fault detection instruction to the target intelligent panel according to the instruction transmission channel;
s202, performing self-checking operation on a target intelligent flat plate according to a fault detection instruction, and acquiring self-checking operation data corresponding to a plurality of internal computer modules in the target intelligent flat plate;
s203, data combination is carried out on the self-checking operation data corresponding to the internal computer modules, and operation detection data are generated.
Specifically, when the control state is that the control connection is successful, a fault detection instruction is issued to the target intelligent panel according to the instruction transmission channel; and executing self-checking operation on the target intelligent flat plate according to the fault detection instruction, and acquiring self-checking operation data corresponding to a plurality of internal computer modules in the target intelligent flat plate, wherein the server executes the self-checking operation when receiving the fault detection instruction, and acquires the self-checking operation data corresponding to the plurality of internal computer modules in the target intelligent flat plate after the self-checking operation is completed. Further, the server performs data combination on the self-checking operation data corresponding to the plurality of internal computer modules to generate operation detection data, wherein the server adds a coding column to the self-checking operation data, screens the self-checking operation data according to preset screening conditions, and combines the data of all the self-checking operation data to form an intermediate result set; and grouping the data of the intermediate result set according to the target field and carrying out statistics and summarization on the code column values to form an intermediate result set to be processed, and further carrying out statistics and summarization on the summarized values of the code columns of each group of the intermediate result set to be processed by the server, and carrying out data combination according to the summarized values of each code column of each group and the quantity thereof to generate operation detection data.
In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:
s301, performing sequence conversion on operation detection data to obtain an operation detection sequence, and constructing an initial vector according to the operation detection sequence;
s302, performing single-hot vector code conversion on the initial vector to obtain a target code vector;
s303, inputting a target coding vector into a preset fault data analysis model, and calculating a target value corresponding to the target coding vector through the fault data analysis model, wherein the fault data analysis model comprises a first layer of long-short-time memory network, a two-way threshold cycle network, a second layer of long-short-time memory network and a fully connected network;
s304, calling a preset fault type list, and looking up a table according to the target value to obtain a fault information type corresponding to the operation detection data.
Specifically, the server performs sequence conversion on operation detection data to obtain an operation detection sequence, and constructs an initial vector according to the operation detection sequence, wherein the server stores and outputs the operation detection data to obtain the operation detection sequence, and further the server constructs the initial vector according to the operation detection sequence, further the server performs independent hot vector code conversion on the initial vector to obtain a target coding vector, wherein the initial vector is obtained, meanwhile, the server further converts extracted vector features into classified variables, and further the server performs independent hot vector code conversion on the initial vector through the classified variables to finally obtain the target coding vector, further the server inputs the target coding vector into a preset fault data analysis model, and calculates a target value corresponding to the target coding vector through the fault data analysis model, wherein the fault data analysis model comprises a first layer of long and short memory network, a bidirectional cyclic network, a second layer of long and short time memory network and a full connection network, calls a preset fault type list, and obtains a fault information type corresponding to the operation detection data according to the target value.
In a specific embodiment, as shown in fig. 4, the process of executing step S104 may specifically include the following steps:
s401, analyzing module interaction frequency of a plurality of internal computer modules according to fault information types to obtain interaction frequency of each internal computer module;
s402, respectively converting the interaction frequency of each internal computer module into a standard value to obtain a characteristic value corresponding to each interaction frequency;
s403, constructing module interaction relations among a plurality of internal computer modules according to the characteristic values corresponding to each interaction frequency, and obtaining module interaction data.
The server analyzes the module interaction frequency of each internal computer module according to the fault information type to obtain the interaction frequency of each internal computer module, wherein the server receives the fault information type, analyzes the module interaction frequency of each internal computer module to obtain the interaction frequency of each internal computer module, the fault information type at least comprises rating indication information and transmission indication information, further, the server respectively converts the interaction frequency of each internal computer module to obtain a characteristic value corresponding to each interaction frequency, the server firstly carries out non-standard value detection on the interaction frequency of each internal computer module, and particularly replaces an abnormal value in the interaction frequency of each internal computer module based on an inverse distance weight IDW algorithm, and then the server carries out non-standard value detection on the interaction frequency of each internal computer module again to judge whether abnormal data capable of being replaced exist or not.
In a specific embodiment, the process of executing step S105 may specifically include the following steps:
(1) Constructing an interaction data topological graph of a plurality of internal computer modules according to the module interaction data;
(2) Extracting a plurality of internal computer modules with module interaction relations in the interaction data topological graph to obtain a first interaction module set;
(3) And extracting a plurality of internal computer modules without module interaction relations in the interaction data topological graph to obtain a second interaction module set.
Specifically, the server constructs an interaction data topological graph of a plurality of internal computer modules according to module interaction data, wherein the server constructs the interaction data topological graph according to the module interaction data, the interaction data topological graph comprises node feature vectors and edge feature vectors, further, the server extracts a plurality of internal computer modules with module interaction relations in the interaction data topological graph according to the node feature vectors and the edge feature vectors in the interaction data topological graph to obtain a first interaction module set, and simultaneously extracts a plurality of internal computer modules without module interaction relations in the interaction data topological graph to obtain a second interaction module set.
In a specific embodiment, the process of executing step S106 may specifically include the following steps:
(1) Generating a first module position set according to the first interaction module set, and generating a plurality of second module positions through the second interaction module set respectively;
(2) According to the first module position set, performing fault positioning on the first interaction module set to obtain a first fault computer module;
(3) Respectively carrying out fault positioning on the second interaction module set according to the position of each second module to obtain a second fault computer module;
(4) And generating a target fault computer module according to the first fault computer module and the second fault computer module.
Specifically, the server traverses the first interactive module according to the first interactive module set, determines the position information of each interactive module in the first interactive module, finally generates a first module position set, and simultaneously generates a plurality of second module positions through the second interactive module set.
The foregoing describes a method for remotely controlling an interactive intelligent tablet internal computer module in an embodiment of the present invention, and the following describes a remote control system for an interactive intelligent tablet internal computer module in an embodiment of the present invention, referring to fig. 5, and one embodiment of the remote control system for an interactive intelligent tablet internal computer module in an embodiment of the present invention includes:
the receiving module 501 is configured to receive a remote control instruction sent by a detection terminal, and establish a remote control connection to a target intelligent panel according to the remote control instruction, so as to obtain a control state of the detection terminal and the target intelligent panel;
the detection module 502 is configured to issue a fault detection instruction to the target intelligent tablet according to the control state, and perform operation detection on a plurality of internal computer modules in the target intelligent tablet according to the fault detection instruction, so as to obtain operation detection data;
the analysis module 503 is configured to input the operation detection data into a preset fault data analysis model to perform fault type analysis, so as to obtain a fault information type;
the parsing module 504 is configured to parse the module interaction relationships of the plurality of internal computer modules according to the fault information types, so as to obtain module interaction data;
the processing module 505 is configured to group the plurality of internal computer modules of the intelligent tablet according to the module interaction data to obtain a first interaction module set and a second interaction module set, where the first interaction module set is a plurality of internal computer modules with a module interaction relationship, and the second interaction module set is a plurality of internal computer modules without a module interaction relationship;
and the positioning module 506 is configured to perform fault positioning on the target intelligent tablet according to the first interaction module set and the second interaction module set, so as to obtain a target fault computer module.
Through the cooperation of the components, operation detection is carried out on a plurality of internal computer modules in the target intelligent panel to obtain operation detection data; inputting operation detection data into a fault data analysis model to perform fault type analysis to obtain a fault information type; according to the fault information type, analyzing the module interaction relationship of a plurality of internal computer modules to obtain module interaction data; module grouping is carried out on a plurality of internal computer modules of the intelligent flat panel according to the module interaction data, so that a first interaction module set and a second interaction module set are obtained; according to the method, the target intelligent flat panel is subjected to fault positioning according to the first interaction module set and the second interaction module set to obtain the target fault computer module, remote control connection is established on the target intelligent flat panel, remote control of the intelligent flat panel is achieved, operation detection is conducted on a plurality of internal computer modules in the target intelligent flat panel in a remote control mode, the target fault computer module is analyzed, and detection accuracy of the intelligent flat panel is improved.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform 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 removable hard disk, a read-only memory (ROM), a random access memory (randomacceS memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. The remote control method of the interactive intelligent tablet internal computer module is characterized by comprising the following steps of:
receiving a remote control instruction sent by a detection terminal, establishing remote control connection for a target intelligent panel according to the remote control instruction, and obtaining control states of the detection terminal and the target intelligent panel;
according to the control state, a fault detection instruction is issued to the target intelligent panel, and operation detection is carried out on a plurality of internal computer modules in the target intelligent panel according to the fault detection instruction, so that operation detection data are obtained;
inputting the operation detection data into a preset fault data analysis model to perform fault type analysis to obtain a fault information type;
according to the fault information type, analyzing the module interaction relationship of the plurality of internal computer modules to obtain module interaction data, wherein the method specifically comprises the following steps: according to the fault information type, analyzing the module interaction frequency of the plurality of internal computer modules to obtain the interaction frequency of each internal computer module; respectively converting the interaction frequency of each internal computer module into a standard value to obtain a characteristic value corresponding to each interaction frequency; constructing module interaction relations among the plurality of internal computer modules according to the characteristic values corresponding to each interaction frequency to obtain module interaction data;
the method comprises the steps of carrying out module grouping on a plurality of internal computer modules of the intelligent tablet according to module interaction data to obtain a first interaction module set and a second interaction module set, wherein the first interaction module set is a plurality of internal computer modules with module interaction relations, and the second interaction module set is a plurality of internal computer modules without module interaction relations;
and according to the first interaction module set and the second interaction module set, performing fault positioning on the target intelligent flat panel to obtain a target fault computer module.
2. The method for remotely controlling an internal computer module of an interactive intelligent tablet according to claim 1, wherein the steps of receiving a remote control command sent by a detection terminal, establishing a remote control connection to a target intelligent tablet according to the remote control command, and obtaining control states of the detection terminal and the target intelligent tablet include:
receiving a remote control instruction sent by a detection terminal, and analyzing the remote control instruction to obtain a connection mode and an instruction transmission channel;
according to the connection mode, matching the detection terminal with a target intelligent panel to be detected, and establishing remote connection between the detection terminal and the target intelligent panel;
according to the instruction transmission channel, acquiring control states of the detection terminal and the target intelligent panel, wherein the control states comprise: control connection success and control connection failure.
3. The method for remotely controlling an internal computer module of an interactive intelligent tablet according to claim 2, wherein the issuing a fault detection command to the target intelligent tablet according to the control state, and performing operation detection on a plurality of internal computer modules in the target intelligent tablet according to the fault detection command, to obtain operation detection data, includes:
when the control state is that the control connection is successful, issuing a fault detection instruction to the target intelligent panel according to the instruction transmission channel;
performing self-checking operation on the target intelligent flat panel according to the fault detection instruction, and acquiring self-checking operation data corresponding to a plurality of internal computer modules in the target intelligent flat panel;
and carrying out data combination on the self-checking operation data corresponding to the plurality of internal computer modules to generate operation detection data.
4. The method for remotely controlling an internal computer module of an interactive intelligent tablet according to claim 1, wherein inputting the operation detection data into a preset fault data analysis model to perform fault type analysis, obtaining a fault information type, comprises:
performing sequence conversion on the operation detection data to obtain an operation detection sequence, and constructing an initial vector according to the operation detection sequence;
performing independent-hot vector code conversion on the initial vector to obtain a target code vector;
inputting the target coding vector into a preset fault data analysis model, and calculating a target value corresponding to the target coding vector through the fault data analysis model, wherein the fault data analysis model comprises a first layer of long-short-time memory network, a bidirectional threshold circulation network, a second layer of long-short-time memory network and a fully-connected network;
and calling a preset fault type list, and looking up a table according to the target value to obtain a fault information type corresponding to the operation detection data.
5. The method for remotely controlling internal computer modules of an intelligent tablet according to claim 1, wherein the grouping the plurality of internal computer modules of the intelligent tablet according to the module interaction data to obtain a first interaction module set and a second interaction module set includes:
constructing an interaction data topological graph of the plurality of internal computer modules according to the module interaction data;
extracting a plurality of internal computer modules with module interaction relations in the interaction data topological graph to obtain a first interaction module set;
and extracting a plurality of internal computer modules without module interaction relations in the interaction data topological graph to obtain a second interaction module set.
6. The method for remotely controlling an internal computer module of an intelligent tablet according to claim 1, wherein the performing fault location on the target intelligent tablet according to the first set of interaction modules and the second set of interaction modules to obtain a target fault computer module comprises:
generating a first module position set according to the first interaction module set, and generating a plurality of second module positions through the second interaction module set respectively;
according to the first module position set, performing fault positioning on the first interaction module set to obtain a first fault computer module;
respectively carrying out fault positioning on the second interaction module set according to the position of each second module to obtain a second fault computer module;
and generating a target fault computer module according to the first fault computer module and the second fault computer module.
7. The remote control system of the intelligent tablet internal computer module of an interaction type, characterized by that, the remote control system of the intelligent tablet internal computer module of an interaction type includes:
the receiving module is used for receiving a remote control instruction sent by the detection terminal, establishing remote control connection for the target intelligent flat plate according to the remote control instruction, and obtaining the control states of the detection terminal and the target intelligent flat plate;
the detection module is used for issuing a fault detection instruction to the target intelligent panel according to the control state, and performing operation detection on a plurality of internal computer modules in the target intelligent panel according to the fault detection instruction to obtain operation detection data;
the analysis module is used for inputting the operation detection data into a preset fault data analysis model to perform fault type analysis to obtain a fault information type;
the analysis module is used for analyzing the module interaction relationship of the plurality of internal computer modules according to the fault information type to obtain module interaction data, and specifically comprises the following steps: according to the fault information type, analyzing the module interaction frequency of the plurality of internal computer modules to obtain the interaction frequency of each internal computer module; respectively converting the interaction frequency of each internal computer module into a standard value to obtain a characteristic value corresponding to each interaction frequency; constructing module interaction relations among the plurality of internal computer modules according to the characteristic values corresponding to each interaction frequency to obtain module interaction data;
the processing module is used for grouping the plurality of internal computer modules of the intelligent tablet according to the module interaction data to obtain a first interaction module set and a second interaction module set, wherein the first interaction module set is a plurality of internal computer modules with module interaction relations, and the second interaction module set is a plurality of internal computer modules without module interaction relations;
and the positioning module is used for performing fault positioning on the target intelligent flat panel according to the first interaction module set and the second interaction module set to obtain a target fault computer module.
8. The remote control system of an interactive smart tablet internal computer module of claim 7, wherein the receiving module is specifically configured to:
receiving a remote control instruction sent by a detection terminal, and analyzing the remote control instruction to obtain a connection mode and an instruction transmission channel;
according to the connection mode, matching the detection terminal with a target intelligent panel to be detected, and establishing remote connection between the detection terminal and the target intelligent panel;
according to the instruction transmission channel, acquiring control states of the detection terminal and the target intelligent panel, wherein the control states comprise: control connection success and control connection failure.
9. The remote control system of an interactive smart tablet internal computer module of claim 8, wherein the detection module is specifically configured to:
when the control state is that the control connection is successful, issuing a fault detection instruction to the target intelligent panel according to the instruction transmission channel;
performing self-checking operation on the target intelligent flat panel according to the fault detection instruction, and acquiring self-checking operation data corresponding to a plurality of internal computer modules in the target intelligent flat panel;
and carrying out data combination on the self-checking operation data corresponding to the plurality of internal computer modules to generate operation detection data.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109219072A (en) * | 2018-11-09 | 2019-01-15 | 浙江国自机器人技术有限公司 | WIFI data transmission failure localization method, system, controller and storage medium |
| CN110597652A (en) * | 2019-09-19 | 2019-12-20 | 广州视源电子科技股份有限公司 | Fault detection system of intelligent interactive panel and control method thereof |
| WO2021204118A1 (en) * | 2020-04-07 | 2021-10-14 | 蜂巢传动系统(江苏)有限公司保定研发分公司 | Driving electric motor control system and method for ensuring safety thereof |
| US11163875B1 (en) * | 2019-03-22 | 2021-11-02 | Ca, Inc. | Discovery of computer system incidents to be remediated based on correlation between support interaction data and computer system telemetry data |
| CN113895451A (en) * | 2021-10-27 | 2022-01-07 | 东风汽车集团股份有限公司 | Safety redundancy and fault diagnosis system and method based on automatic driving system |
| CN115221528A (en) * | 2022-06-13 | 2022-10-21 | 珠海奔图电子有限公司 | Credibility measuring method, credibility measuring device, image forming apparatus, and storage medium |
-
2023
- 2023-05-23 CN CN202310583948.3A patent/CN116302663B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109219072A (en) * | 2018-11-09 | 2019-01-15 | 浙江国自机器人技术有限公司 | WIFI data transmission failure localization method, system, controller and storage medium |
| US11163875B1 (en) * | 2019-03-22 | 2021-11-02 | Ca, Inc. | Discovery of computer system incidents to be remediated based on correlation between support interaction data and computer system telemetry data |
| CN110597652A (en) * | 2019-09-19 | 2019-12-20 | 广州视源电子科技股份有限公司 | Fault detection system of intelligent interactive panel and control method thereof |
| WO2021204118A1 (en) * | 2020-04-07 | 2021-10-14 | 蜂巢传动系统(江苏)有限公司保定研发分公司 | Driving electric motor control system and method for ensuring safety thereof |
| CN113895451A (en) * | 2021-10-27 | 2022-01-07 | 东风汽车集团股份有限公司 | Safety redundancy and fault diagnosis system and method based on automatic driving system |
| CN115221528A (en) * | 2022-06-13 | 2022-10-21 | 珠海奔图电子有限公司 | Credibility measuring method, credibility measuring device, image forming apparatus, and storage medium |
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