CN114615255B - Computer remote control management system and method based on artificial intelligence - Google Patents

Computer remote control management system and method based on artificial intelligence Download PDF

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CN114615255B
CN114615255B CN202210365121.0A CN202210365121A CN114615255B CN 114615255 B CN114615255 B CN 114615255B CN 202210365121 A CN202210365121 A CN 202210365121A CN 114615255 B CN114615255 B CN 114615255B
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CN114615255A (en
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刘明洋
宋泓儒
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Shanghai Leader Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H04L67/025Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/24Reminder alarms, e.g. anti-loss alarms
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0866Checking the configuration
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/28Restricting access to network management systems or functions, e.g. using authorisation function to access network configuration
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/10Network architectures or network communication protocols for network security for controlling access to devices or network resources
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00Network architectures or network communication protocols for network security
    • H04L63/20Network architectures or network communication protocols for network security for managing network security; network security policies in general

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Abstract

The invention discloses a computer remote control management system and a method based on artificial intelligence, wherein the management method comprises the following steps: step S100: acquiring technical instructions which need to be executed when different computer equipment completes different technical targets, and analyzing the technical instructions; step S200: analyzing the relationship between the technical instructions and the performance attribute conditions which are controlled by different computer equipment when different technical targets are finished; step S300: initiating a control inquiry to a main control terminal device; step S400: carrying out area division on a corresponding control page of each remote control action of the master control end equipment on the controlled end equipment; step S500: checking the relevance between each remote control action and the control inquiry result; step S600: and when the remote control action which does not pass the correlation verification is captured, carrying out early warning prompt on the remote control action and the corresponding control instruction to the controlled equipment end.

Description

Computer remote control management system and method based on artificial intelligence
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a computer remote control management system and a computer remote control management method based on artificial intelligence.
Background
Due to the rapid development of current computer technologies, it has long been possible to implement remote connections between two or more computer devices; and the technology of using the remote operation and maintenance computer can realize that the network operation and maintenance personnel or technical guide personnel can provide remote operation help for users needing remote computer assistance.
However, the method has the disadvantages that for a user, when the remote control function of the computer is started, other people are often required to provide technical guidance, for example, the method helps to remotely maintain a problem, remotely helps to download an application program which is difficult to download, and the like; in this situation, users who need help are vulnerable in the technical understanding level, the opposite side is often a technical person with a higher computer level, the open authority brings some computer information safety hazards to the technical person, the users cannot discriminate all control behaviors of the control person due to the inexplicability or the unclear operation of the computer, which steps are necessary for solving the current technical problem and which are not related control behaviors, and the control behaviors bring the information safety hazards.
Disclosure of Invention
The invention aims to provide a computer remote control management system method based on artificial intelligence to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the computer remote control management method based on artificial intelligence comprises the following steps:
step S100: the management system acquires technical instructions required to be executed by different computer equipment when the different technical targets are finished based on big data, and analyzes the technical instructions to obtain basic technical instructions required to be executed by the different computer equipment when the same technical target is finished and special technical instructions required to be executed by the different computer equipment when the same technical target is finished;
step S200: analyzing the relationship between the technical instructions and the performance attribute conditions which are controlled by different computer equipment when different technical targets are finished;
step S300: when the master control end equipment initiates a remote control request to the controlled end equipment, and the controlled end equipment grants an access right to the master control end equipment, the management system initiates a control inquiry to the master control end equipment; the control inquiry refers to inquiring the main control end equipment to prepare a technical target which is finally required to be achieved through remote control of the controlled end equipment; the master control end equipment feeds back the control inquiry result to the management system; the operation query result obtained by the feedback of the operation query at one time at least comprises one technical target;
step S400: the management system divides the corresponding control page into areas based on each remote control action of the master control end device on the controlled end device;
step S500: the management system verifies the relevance between each remote control action and the control inquiry result based on the regional distribution condition of each remote control action on the controlled end equipment by the main control end equipment;
step S600: when the management system captures the remote control action which does not pass the correlation verification, the remote control action and the corresponding control instruction are subjected to early warning prompt to the controlled equipment.
Further, the process of analyzing the technical instructions that need to be executed by different computer devices when different technical goals are completed in step S100 includes:
step S101: extracting each technical target, and respectively acquiring a technical instruction sequence which is issued according to a time sequence when different computer equipment executes each technical target in a non-remote control state based on big data;
step S102: when the technical target a is executed, the technical instruction sequence set corresponding to the required operation of the ith computer equipment is X ai ,X ai Includes { x ai1 ,x ai2 ,…,x ain In which x ai1 、x ai2 、…、x ain Respectively representing the 1 st, 2 nd, … and n technical instructions which need to be operated when the ith computer equipment finishes the technical target a; obtaining a basic technical instruction set X of the operation required when the technical target a is executed based on the technical instruction sequence set required to be executed when all computer equipment completes the technical target a a basic =X ai ∩X ai+1 ∩X ai+2 ∩…∩X ai+m (ii) a Namely X a basic The technical instructions in the system are coincident technical instructions which correspond to operations when the i, i +1, i +2, … and i + m computer equipment execute the technical target a;
step S103: respectively subtracting the basic technical instruction sets which need to be operated by all the computer equipment when the technical target a is executed from the technical instruction sequence sets which need to be operated by different computer equipment when the technical target a is executed to obtain the special technical instruction sets which need to be operated by different computer equipment when the technical target a is executed;
step S104: respectively splitting and analyzing a technical instruction sequence set which needs to be operated when i computer devices execute a technical target a to obtain X ai =x a basic +x ai speciality (ii) a Wherein x is ai speciality Is shown asi special technical instruction sets which need to be operated when the computer equipment executes the technical target a; x is a radical of a fluorine atom a basic A basic technical instruction set representing all computer devices to be operated when executing the technical target a;
step S105: are each at x a basic And x ai speciality The technical instruction sequence which must accord with the time sequence is analyzed out as the key instruction node;
the steps are equivalent to finding out common instructions and characteristic instructions on the control instructions when different computer equipment executes the same technical target; common instructions are instructions that often appear when all computer devices execute the same technical target, while characteristic instructions are special instructions that appear when different computer devices execute the same technical target due to different performance attributes or permission settings.
Further, the process of analyzing the relationship between the technical instructions and the performance attribute conditions, which are manipulated by different computer devices when different technical goals are completed, includes:
step S201: respectively summarizing the performance attribute conditions of each computer device based on a special technical instruction set and a basic technical instruction set when each computer device completes each technical target to obtain corresponding technical instructions corresponding to different performance attribute conditions when each technical target is executed;
step S202: establishing pointing corresponding relation between different performance attribute conditions and different technical instructions when each computer device finishes the technical target a, and recording x a basic → A → a and x Is especially characterized in that → B → a; a denotes a computer device executing x when completing a technical object a a basic A set of performance attribute conditions corresponding to the time; wherein x is Is special in Indicating that a computer device removed x when it completed the technical object a a basic With special technical instructions to be executed, B denotes that a computer device executes x when a technical object a is completed Is especially characterized in that A set of time-dependent performance attribute conditions;
the steps are equivalent to searching corresponding command reasons for special commands operated by different computer equipment when the same technical target is executed, namely finding legal system background conditions corresponding to the special commands, and implementing specific command screening based on different performance attribute conditions of the computer equipment when subsequent remote control actions are monitored; the scientificity, effectiveness and accuracy of management are improved for the management system.
Further, the remote control action includes, but is not limited to, a mouse control action, a touch pad control action, and a keyboard control action; one technical instruction at least corresponds to one remote control action;
because each person has different habits when using the computer equipment, all the control action sources capable of controlling the computer equipment and inputting technical instructions are included, which is favorable for realizing the comprehensive supervision of abnormal remote control actions.
Further, the step S400 of performing area division on the corresponding control page by each remote control action of the master device on the controlled device includes:
step S401: extracting performance attribute condition information of the controlled end equipment and technical target information contained in the control inquiry result fed back by the main control end equipment; determining a basic technical instruction set and a special technical instruction set which are required to be operated by the main control end equipment based on the technical target information and the performance attribute condition information of the controlled end equipment;
step S402: capturing each remote control action of the master control end equipment on the controlled end equipment and a control page corresponding to the remote control action, and obtaining all predicted technical instructions which can be generated between the remote control action and the control page based on artificial intelligence; marking the technical instructions with superposition of the basic technical instruction set and the special technical instruction set extracted in the step S501 in all the predicted technical instructions to obtain a plurality of marking instructions;
step S403: dividing all the predicted technical instructions into corresponding operation instruction areas in an operation page respectively to obtain an operation instruction area set, wherein the operation instruction area set comprises a plurality of operation instruction areas; the method comprises the steps that a plurality of marking instructions are correspondingly marked in a delimitation mode in an operation instruction area set to obtain a first target operation area set, the first target operation area set comprises a plurality of first target operation areas, and one target operation area corresponds to one marking instruction; taking the area corresponding to the key instruction node in the first target control area set as a second target control area; setting a control instruction area outside the first target control area as an irrelevant area;
the reason why the remote control action and the control page corresponding to the remote control action are used as target processing objects is that when a user types an instruction into a computer device, a mouse arrow is usually placed on the control page where a technical instruction to be issued is located, the control page corresponding to the remote control action is locked, so that a technical instruction set which is expected to be issued by a main control end can be obtained, if the main control end wants to realize a technical target, and a technical instruction area related to realizing the technical target and a technical instruction area unrelated to realizing the technical target are arranged on the control page corresponding to the current remote control action, if the technical target to be realized fed back by the main control end is real, the main control end inevitably keys a target technical instruction in the technical instruction area related to realizing the technical target; if the technical target which is fed back by the main control end and is to be realized is false, the main control end does not necessarily enter the target technical instruction in the technical instruction region relevant to realizing the technical target of the main control end, and the possibility of entering the technical instruction in the technical instruction region irrelevant to realizing the technical target is high; the method can realize the follow-up abnormal supervision of the remote control action and provide a technical cushion.
Further, the step S500 of verifying the association between each remote control action and the control query result based on the area distribution of the master control end device on the controlled end device where each remote control action is located includes:
step S501: capturing each remote control action in the irrelevant area and the second target control area, if the remote control action enters a command in the irrelevant area, capturing a command which is entered in the irrelevant area next time, and if the command which is entered in the irrelevant area next time is not a command which is entered in the irrelevant area last time, judging that the relevance verification between the remote control action of the main control end equipment and the control inquiry result fails;
if the technical target to be achieved is fed back by the master control end, if the instruction input by the master control end is not related to the technical target, the instruction may be caused by misoperation of a user, for example, the instruction is mistaken, and the technical instruction causing the mistake is input, then the subsequent operation action is necessarily to cancel the missed technical instruction, but the issue of the technical instruction is not all required to be in a time sequence, and in order to eliminate the possibility that the master control end does not find the wrong execution of the technical instruction in the first time and the next technical instruction not required to be in a time sequence, the instruction input in the irrelevant area next time is taken as the target instruction, because if the instruction input by the master control end in the irrelevant area next time is not the technical instruction for canceling the miss, which means that the master control end is not really intended to achieve the technical target of the feedback, there is a high possibility of false feedback;
step S502: if the remote control action enters the instruction a1 once in the second target control area, capturing the area position corresponding to the next entering instruction a 2; if the area position of a2 belongs to the second target control area, but the control instruction corresponding to the area position of a2 and the control instruction corresponding to the area position of a1 do not form a key instruction node, or the control instruction corresponding to the area position of a2 and the control instruction corresponding to the area position of a1 form a key instruction node which is not associated with the technical target information, determining that the correlation check between the remote control action of the main control end device and the control inquiry result fails;
the above steps are the process of implementing the remote control action abnormity supervision, the key instruction node is used as a key point of abnormity supervision, and the key instruction node has high requirement on time, so the method has reference value in judging whether the feedback technical target fed back by the main control end is real or false, and the supervision accuracy of the management system is improved.
The management system comprises a first technical instruction analysis module, a second technical instruction analysis module, an inquiry and feedback receiving module, a page area dividing module, a relevance checking module and an early warning prompt module;
the first technical instruction analysis module is used for acquiring technical instructions required to be executed by different computer equipment when the different technical targets are finished, and analyzing the technical instructions to obtain basic technical instructions required to be executed by different computer equipment when the same technical target is finished and special technical instructions required to be executed by different computer equipment when the same technical target is finished;
the second technical instruction analysis module is used for analyzing the relationship between the technical instructions and the performance attribute conditions which are controlled by different computer equipment when different technical targets are finished;
the inquiry and feedback receiving module is used for initiating an operation inquiry and receiving an inquiry feedback to the main control end device after the main control end device initiates a remote operation request to the controlled end device and the controlled end device grants an access right to the main control end device;
the page area division module is used for carrying out area division on a corresponding control page by each remote control action of the master control end equipment on the controlled end equipment;
the correlation checking module is used for checking the correlation between each remote control action and the control inquiry result based on the regional distribution condition of each remote control action on the controlled end equipment by the main control end equipment;
and the early warning prompt module is used for receiving the data in the relevance verification module and carrying out early warning prompt on the remote control action which does not pass the relevance verification and the corresponding control instruction to the controlled equipment end.
Furthermore, the first technical instruction analysis module comprises a basic technical instruction analysis unit and a special technical instruction analysis unit;
the basic technical instruction analysis unit is used for acquiring technical instructions which need to be executed when different computer equipment completes different technical targets, and analyzing the technical instructions to obtain basic technical instructions which need to be executed when different computer equipment completes the same technical target;
and the special technical instruction analyzing unit is used for acquiring technical instructions which need to be executed when different computer equipment completes different technical targets, and analyzing the technical instructions to obtain the special technical instructions which need to be executed when different computer equipment completes the same technical target.
Further, the page area dividing module includes: the system comprises an information acquisition and processing unit, a prediction technical instruction analysis unit and an area mark dividing unit;
the information acquisition processing unit is used for acquiring performance attribute condition information of the controlled end equipment and technical target information contained in the control inquiry result fed back by the main control end equipment, and determining a basic technical instruction set and a special technical instruction set which are required to be operated by the main control end equipment based on the information;
the system comprises a predicted technical instruction analysis unit, a remote control action acquisition processing unit and a predicted technical instruction processing unit, wherein the predicted technical instruction analysis unit is used for receiving data in the information acquisition processing unit, capturing each remote control action of the master control end device on the controlled end device and a control page corresponding to the remote control action, and obtaining all predicted technical instructions which can be generated between the remote control action and the control page based on artificial intelligence;
and the area mark dividing unit is used for performing mark division of the first target control area, the second target control area and the irrelevant area on the control page according to the data in the prediction technical instruction analysis unit.
Compared with the prior art, the invention has the following beneficial effects: the invention can help the user to identify the legal necessity of all the control behaviors issued by the control personnel when the computer is in a remote control state; the remote control action and the corresponding control page are subjected to instruction correspondence, and the correlation between the corresponding instruction and the technical target fed back by the main control end is verified, so that early warning on some improper or potential safety hazard control behaviors issued by control personnel can be realized; the information safety guarantee of the controlled end equipment is improved when the computer equipment is controlled remotely.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart of a computer remote control management method based on artificial intelligence of the present invention;
FIG. 2 is a schematic structural diagram of a computer remote control management system based on artificial intelligence 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. 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.
Referring to fig. 1-2, the present invention provides a technical solution: the computer remote control management method based on artificial intelligence comprises the following steps:
step S100: the management system acquires technical instructions required to be executed by different computer equipment when the different technical targets are finished based on big data, and analyzes the technical instructions to obtain basic technical instructions required to be executed by the different computer equipment when the same technical target is finished and special technical instructions required to be executed by the different computer equipment when the same technical target is finished;
the process of analyzing the technical instructions that need to be executed by different computer devices when different technical targets are completed in step S100 includes:
step S101: extracting each technical target, and respectively acquiring a technical instruction sequence issued according to a time sequence when different computer equipment executes each technical target in a non-remote control state based on big data;
step S102: when the technical target a is executed, the technical instruction sequence set corresponding to the required operation of the ith computer equipment is X ai ,X ai Includes { x ai1 ,x ai2 ,…,x ain } of whichIn, x ai1 、x ai2 、…、x ain Respectively representing the 1 st, 2 nd, … and n technical instructions which need to be operated when the ith computer equipment finishes the technical target a; obtaining a basic technical instruction set X of the operation required when the technical target a is executed based on the technical instruction sequence set required to be executed when all computer equipment completes the technical target a a basic =X ai ∩X ai+1 ∩X ai+2 ∩…∩X ai+m (ii) a Namely X a basic Each technical instruction in the computer system is a technical instruction which is overlapped when the computer equipment of the i, i +1, i +2, … and i + m executes the technical target a and is corresponding to the operation to be performed;
step S103: respectively subtracting the basic technical instruction sets which need to be operated by all the computer equipment when the technical target a is executed from the technical instruction sequence sets which need to be operated by different computer equipment when the technical target a is executed to obtain the special technical instruction sets which need to be operated by different computer equipment when the technical target a is executed;
step S104: respectively splitting and analyzing a technical instruction sequence set which needs to be operated when i computer devices execute a technical target a to obtain X ai =x a basic +x ai speciality (ii) a Wherein x is ai speciality A special technical instruction set which represents that the ith computer equipment needs to operate when executing the technical target a; x is the number of a basic A basic technical instruction set representing all computer devices to be operated when executing the technical target a;
step S105: are each at x a basic And x ai speciality The technical instruction sequence which must accord with the time sequence is analyzed out as the key instruction node;
step S200: analyzing the relationship between the technical instructions and the performance attribute conditions which are controlled by different computer equipment when different technical targets are finished;
the process of analyzing the relationship between the technical instructions and the performance attribute conditions, which are operated by different computer equipment when different technical targets are finished, comprises the following steps:
step S201: respectively summarizing the performance attribute conditions of each computer device based on a special technical instruction set and a basic technical instruction set when each computer device completes each technical target to obtain corresponding technical instructions corresponding to different performance attribute conditions when each technical target is executed;
step S202: establishing a corresponding relation of pointing between different performance attribute conditions and different technical instructions when each computer device finishes the technical target a, and recording x a basic → A → a and x Is especially characterized in that → B → a; a denotes a computer device executing x when completing a technical object a a basic A set of performance attribute conditions corresponding to the time; wherein x is Is especially characterized in that Indicating that a computer device removed x when it completed the technical object a a basic With special technical instructions to be executed, B denotes that a computer device executes x when a technical object a is completed Is especially characterized in that A set of performance attribute conditions corresponding to the time;
for example, the CAD software is also downloaded at the computer side, the Windows system computer device and the MacOS system computer device are different in the operation program, i.e., the technical instructions of a series of operations, and the Windows system computer devices with different versions and different memories and different byte numbers are also different in the operation program, i.e., the technical instructions of a series of operations, when the CAD software is also downloaded; however, the computer side downloads the CAD software and certain same technical operation instructions necessarily exist, for example, downloading a CAD installation package, decompressing the installation package, setting management authority for the system and the like; the paths generated when the computer equipment of different systems copies the CAD function table when the CAD software is installed are different;
step S300: when the master control end equipment initiates a remote control request to the controlled end equipment and the controlled end equipment grants an access right to the master control end equipment, the management system initiates a control inquiry to the master control end equipment; the control inquiry refers to inquiring the main control end equipment to prepare a technical target which is finally required to be achieved through remote control of the controlled end equipment; the master control end equipment feeds back the control inquiry result to the management system; the operation query result obtained by the feedback of the operation query at one time at least comprises one technical target;
step S400: the management system divides the corresponding control page into areas based on each remote control action of the master control end device on the controlled end device; the remote control action includes but is not limited to a mouse control action, a touch pad control action and a keyboard control action; one technical instruction at least corresponds to one remote control action;
the process of carrying out region division on the corresponding control page by each remote control action of the master control end device on the controlled end device comprises the following steps:
step S401: extracting performance attribute condition information of the controlled end equipment and technical target information contained in the control inquiry result fed back by the main control end equipment; determining a basic technical instruction set and a special technical instruction set which are required to be operated by the main control end equipment based on the technical target information and the performance attribute condition information of the controlled end equipment;
step S402: capturing each remote control action of the master control end equipment on the controlled end equipment and a control page corresponding to the remote control action, and obtaining all predicted technical instructions which can be generated between the remote control action and the control page based on artificial intelligence; marking the technical instructions with superposition of the basic technical instruction set and the special technical instruction set extracted in the step S501 in all the predicted technical instructions to obtain a plurality of marking instructions;
step S403: dividing all the predicted technical instructions into corresponding operation instruction areas in an operation page respectively to obtain an operation instruction area set, wherein the operation instruction area set comprises a plurality of operation instruction areas; the method comprises the steps that a plurality of marking instructions are correspondingly marked in a delimitation mode in an operation instruction area set to obtain a first target operation area set, the first target operation area set comprises a plurality of first target operation areas, and one target operation area corresponds to one marking instruction; taking the area corresponding to the key instruction node in the first target control area set as a second target control area; setting a control instruction area outside the first target control area as an irrelevant area;
step S500: the management system verifies the relevance between each remote control action and the control inquiry result based on the regional distribution condition of each remote control action on the controlled end equipment by the main control end equipment;
the process of verifying the relevance between each remote control action and the control inquiry result based on the area distribution condition of each remote control action on the controlled end equipment by the main control end equipment comprises the following steps:
step S501: capturing each remote control action in the irrelevant area and the second target control area, if the remote control action inputs a command in the irrelevant area, capturing a next command input in the irrelevant area, and if the next command input in the irrelevant area is not the command input in the irrelevant area, judging that the correlation verification between the remote control action of the main control end equipment and the control inquiry result fails;
step S502: if the remote control action inputs the instruction a1 once in the second target control area, capturing the area position corresponding to the next input instruction a 2; if the area position of a2 belongs to the second target operation area, but the operation command corresponding to the area position of a2 and the operation command corresponding to the area position of a1 do not form a key command node, or the operation command corresponding to the area position of a2 and the operation command corresponding to the area position of a1 form a key command node which is not associated with the technical target information, it is determined that the correlation check between the remote operation action of the main control end device and the operation inquiry result fails
Step S600: when the management system captures the remote control action which does not pass the correlation verification, the remote control action and the corresponding control instruction are subjected to early warning prompt to the controlled equipment end;
the management system comprises a first technical instruction analysis module, a second technical instruction analysis module, a query and feedback receiving module, a page area division module, a relevance verification module and an early warning prompt module;
the first technical instruction analysis module is used for acquiring technical instructions which need to be executed when different computer equipment completes different technical targets, and analyzing the technical instructions to obtain basic technical instructions which need to be executed when different computer equipment completes the same technical target and special technical instructions which need to be executed when different computer equipment completes the same technical target;
the first technical instruction analysis module comprises a basic technical instruction analysis unit and a special technical instruction analysis unit;
the basic technical instruction analysis unit is used for acquiring technical instructions which need to be executed when different computer equipment completes different technical targets, and analyzing the technical instructions to obtain basic technical instructions which need to be executed when different computer equipment completes the same technical target;
the special technical instruction analysis unit is used for acquiring technical instructions required to be executed by different computer equipment when different technical targets are finished, and analyzing the technical instructions to obtain special technical instructions required to be executed by different computer equipment when the same technical target is finished;
the second technical instruction analysis module is used for analyzing the relationship between the technical instructions and the performance attribute conditions, which are controlled by different computer equipment when different technical targets are finished;
the inquiry and feedback receiving module is used for initiating an operation inquiry and receiving an inquiry feedback to the main control end device after the main control end device initiates a remote operation request to the controlled end device and the controlled end device grants an access right to the main control end device;
the page area division module is used for carrying out area division on a corresponding control page by each remote control action of the master control end equipment on the controlled end equipment;
wherein, the page area division module includes: the system comprises an information acquisition and processing unit, a prediction technical instruction analysis unit and an area mark dividing unit;
the information acquisition processing unit is used for acquiring performance attribute condition information of the controlled end equipment and technical target information contained in the control inquiry result fed back by the main control end equipment, and determining a basic technical instruction set and a special technical instruction set which are required to be operated by the main control end equipment based on the information;
the system comprises a predicted technical instruction analysis unit, a remote control action acquisition processing unit and a predicted technical instruction processing unit, wherein the predicted technical instruction analysis unit is used for receiving data in the information acquisition processing unit, capturing each remote control action of the master control end device on the controlled end device and a control page corresponding to the remote control action, and obtaining all predicted technical instructions which can be generated between the remote control action and the control page based on artificial intelligence;
the area mark dividing unit is used for performing mark division on a first target control area, a second target control area and an irrelevant area on the control page according to the data in the prediction technical instruction analysis unit;
the correlation checking module is used for checking the correlation between each remote control action and the control inquiry result based on the regional distribution condition of each remote control action on the controlled end equipment by the main control end equipment;
and the early warning prompt module is used for receiving the data in the relevance verification module and carrying out early warning prompt on the remote control action which does not pass the relevance verification and the corresponding control instruction to the controlled equipment end.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. The computer remote control management method based on artificial intelligence is characterized by comprising the following steps:
step S100: the management system acquires technical instructions required to be executed by different computer equipment when finishing different technical targets based on big data, and analyzes the technical instructions to obtain basic technical instructions required to be executed by different computer equipment when finishing the same technical target and special technical instructions required to be executed by different computer equipment when finishing the same technical target;
step S200: analyzing the relationship between the technical instructions and the performance attribute conditions which are controlled by different computer equipment when different technical targets are finished;
step S300: when a master control end device initiates a remote control request to a controlled end device, and the controlled end device grants an access right to the master control end device, a management system initiates a control inquiry to the master control end device; the control inquiry refers to inquiring the main control end equipment to prepare a technical target which is finally required to be achieved by remotely controlling the controlled end equipment; the master control end equipment feeds back an operation inquiry result to the management system; the operation query result obtained by one operation query feedback at least comprises one technical target;
step S400: the management system divides the corresponding control page into regions based on each remote control action of the master control end equipment on the controlled end equipment;
step S500: the management system verifies the relevance between each remote control action and the control inquiry result based on the regional distribution condition of each remote control action on the controlled end equipment by the main control end equipment;
step S600: when the management system captures the remote control action which does not pass the correlation verification, the remote control action and the corresponding control instruction are subjected to early warning prompt to the controlled equipment.
2. The method for managing remote control of computer based on artificial intelligence according to claim 1, wherein the step S100 of parsing the technical instructions that different computer devices need to execute when they accomplish different technical objectives comprises:
step S101: extracting each technical target, and respectively acquiring a technical instruction sequence which is issued according to a time sequence when different computer equipment executes each technical target in a non-remote control state based on big data;
step S102: when the technical target a is executed, the technical instruction sequence set corresponding to the required operation of the ith computer equipment is X ai Said X is ai Includes { x ai1 ,x ai2 ,…,x ain In which x ai1 、x ai2 、…、x ain Respectively representing the 1 st, 2 nd, … and n technical instructions which need to be operated when the ith computer equipment finishes the technical target a; obtaining a basic technical instruction set X of the operation required when the technical target a is executed based on the technical instruction sequence set required to be executed when all computer equipment completes the technical target a a basic =X ai ∩X ai+1 ∩X ai+2 ∩…∩X ai+m (ii) a Namely X a basic Each technical instruction in the computer system is a technical instruction which is overlapped when the computer equipment of the i, i +1, i +2, … and i + m executes the technical target a and is corresponding to the operation to be performed;
step S103: respectively subtracting the basic technical instruction sets which need to be operated by all the computer equipment when the technical target a is executed from the technical instruction sequence sets which need to be operated by different computer equipment when the technical target a is executed to obtain the special technical instruction sets which need to be operated by different computer equipment when the technical target a is executed;
step S104: respectively splitting and analyzing a technical instruction sequence set which needs to be operated when i computer devices execute a technical target a to obtain X ai =x a basic +x ai speciality (ii) a Wherein x is ai speciality A special technical instruction set which represents that the ith computer equipment needs to operate when executing the technical target a; x is the number of a basic A basic technical instruction set representing all computer devices to be operated when executing the technical target a;
step S105: respectively at said x a basic And said x ai TeSpecial-shaped The technical instruction sequence which must accord with the time sequence is analyzed out to be used as a key instruction node.
3. The computer remote control management method based on artificial intelligence of claim 2, wherein the process of analyzing the relationship between the technical instructions and the performance attribute conditions manipulated by different computer devices when different technical goals are achieved comprises:
step S201: respectively inducing the performance attribute conditions of each computer device based on a special technical instruction set and a basic technical instruction set of each computer device when each technical target is completed to obtain corresponding technical instructions corresponding to different performance attribute conditions when each technical target is executed;
step S202: establishing a corresponding relation of pointing between different performance attribute conditions and different technical instructions when each computer device finishes the technical target a, and recording x a basic → A → a and x Is especially characterized in that → B → a; a denotes a computer device executing x when completing a technical object a a basic A set of performance attribute conditions corresponding to the time; wherein x is Is especially characterized in that Indicating that a computer device removed x when it completed the technical object a a basic With special technical instructions to be executed, B denotes that a computer device executes x when a technical object a is completed Is especially characterized in that A corresponding set of performance attribute conditions.
4. The artificial intelligence based computer remote control management method according to claim 1, wherein the remote manipulation actions include a mouse manipulation action, a touch pad manipulation action, a keyboard manipulation action; one technical instruction corresponds to at least one remote control action.
5. The method for remote control and management of computer based on artificial intelligence of claim 1, wherein the step S400 of performing the area division on the corresponding control page by each remote control action of the master device on the controlled device comprises:
step S401: extracting performance attribute condition information of the controlled end equipment and technical target information contained in a control inquiry result fed back by the main control end equipment; determining a basic technical instruction set and a special technical instruction set which are required to be operated by the main control end equipment based on the technical target information and the performance attribute condition information of the controlled end equipment;
step S402: capturing each remote control action of a master control end device on a controlled end device and a control page corresponding to the remote control action, and obtaining all expected technical instructions which can be generated between the remote control action and the control page based on artificial intelligence; marking the technical instructions which are overlapped with the basic technical instruction set and the special technical instruction set extracted in the step S401 in all the predicted technical instructions to obtain a plurality of marking instructions;
step S403: dividing all the predicted technical instructions into corresponding operation instruction areas in an operation page respectively to obtain an operation instruction area set, wherein the operation instruction area set comprises a plurality of operation instruction areas; the marking instructions are correspondingly circled and marked in the control instruction area set to obtain a first target control area set, the first target control area set comprises a plurality of first target control areas, and one target control area corresponds to one marking instruction; taking the area corresponding to the key instruction node in the first target control area set as a second target control area; and setting a control instruction area outside the first target control area as an irrelevant area.
6. The computer remote control management method based on artificial intelligence of claim 5, wherein the step S500 of checking the association between each remote control action and the control query result based on the distribution of the area where each remote control action is located on the controlled end device by the master end device comprises:
step S501: capturing each remote control action in the irrelevant area and the second target control area, if the remote control action enters a command in the irrelevant area once, capturing a next command entered in the irrelevant area, and if the next command entered in the irrelevant area is not a command which is entered in the irrelevant area last time, determining that the correlation verification between the remote control action of the main control end device and the control inquiry result fails;
step S502: if the remote control action enters the instruction a1 once in the second target control area, capturing the area position corresponding to the next entering instruction a 2; if the area position of a2 belongs to the second target control area, but the control instruction corresponding to the area position of a2 and the control instruction corresponding to the area position of a1 do not form a key instruction node, or the control instruction corresponding to the area position of a2 and the control instruction corresponding to the area position of a1 form a key instruction node which is not associated with the technical target information, it is determined that the correlation check between the remote control action of the master control end device and the control inquiry result fails.
7. An artificial intelligence based computer remote control management system applied to the artificial intelligence based computer remote control management method according to any one of claims 1 to 6, wherein the management system comprises a first technical instruction parsing module, a second technical instruction parsing module, a query and feedback receiving module, a page area dividing module, an association checking module, and an early warning prompting module;
the first technical instruction analysis module is used for acquiring technical instructions required to be executed by different computer equipment when the different technical targets are finished, and analyzing the technical instructions to obtain basic technical instructions required to be executed by the different computer equipment when the same technical target is finished and special technical instructions required to be executed by the different computer equipment when the same technical target is finished;
the second technical instruction analysis module is used for analyzing the relationship between the technical instructions and the performance attribute conditions which are controlled by different computer equipment when different technical targets are finished;
the inquiry and feedback receiving module is used for initiating an operation inquiry and receiving inquiry feedback to the master control end device after the master control end device initiates a remote operation request to the controlled end device and the controlled end device grants an access right to the master control end device;
the page area division module is used for carrying out area division on a corresponding control page by each remote control action of the master control end device on the controlled end device;
the correlation verification module is used for verifying the correlation between each remote control action and the control inquiry result based on the regional distribution condition of each remote control action on the controlled end equipment by the main control end equipment;
and the early warning prompt module is used for receiving the data in the relevance verification module and carrying out early warning prompt on the remote control action which does not pass the relevance verification and the corresponding control instruction to the controlled equipment end.
8. The computer remote control management system based on artificial intelligence of claim 7, wherein the first technical instruction parsing module comprises a basic technical instruction parsing unit and a special technical instruction parsing unit;
the basic technical instruction analyzing unit is used for acquiring technical instructions which need to be executed when different computer equipment completes different technical targets, and analyzing the technical instructions to obtain basic technical instructions which need to be executed when different computer equipment completes the same technical target;
the special technical instruction analysis unit is used for acquiring technical instructions required to be executed by different computer equipment when different technical targets are finished, and analyzing the technical instructions to obtain the special technical instructions required to be executed by different computer equipment when the same technical target is finished.
9. The artificial intelligence based computer remote control management system of claim 7, wherein the page area dividing module comprises: the system comprises an information acquisition and processing unit, a prediction technical instruction analysis unit and an area mark dividing unit;
the information acquisition processing unit is used for acquiring performance attribute condition information of the controlled end equipment and technical target information contained in the control inquiry result fed back by the main control end equipment, and determining a basic technical instruction set and a special technical instruction set which are required to be operated by the main control end equipment based on the information;
the predicted technical instruction analysis unit is used for receiving the data in the information acquisition and processing unit, capturing each remote control action of the master control end device on the controlled end device and a control page corresponding to the remote control action, and obtaining all predicted technical instructions which can be generated between the remote control action and the control page based on artificial intelligence;
the area marking and dividing unit is used for marking and dividing a first target control area, a second target control area and an irrelevant area on the control page according to the data in the prediction technical instruction analysis unit.
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