CN113591951A - Remote operation and maintenance method and system for smart television - Google Patents
Remote operation and maintenance method and system for smart television Download PDFInfo
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Abstract
The invention discloses a remote operation and maintenance method and system for an intelligent television, wherein the method comprises the following steps: the method comprises the steps that fuselage data information reported by a remote terminal is collected through a big data center, and a data set is formed by combining stored historical operation and maintenance data information and other data source data maintained after sale; converting and extracting fault characteristics of sample data in the data set, labeling to obtain a training set, training an artificial neural network model through the training set, and obtaining a fault detection processing network model; the intelligent operation and maintenance center receives the abnormal information reported by the remote terminal in real time, inputs the trained artificial neural network model to obtain the fault type and level, and searches a corresponding fault processing scheme from the data set according to the fault type and level; and according to the fault processing scheme, issuing the corresponding plug-in package, patch or upgrading file to the remote terminal and executing the corresponding command. The method and the system improve the running stability of the intelligent television system through various operation and maintenance ways, and timely and efficiently process the fault problem of the remote terminal.
Description
Technical Field
The invention belongs to the technical field of equipment operation and maintenance, and particularly relates to a remote operation and maintenance method and system for an intelligent television.
Background
With the start of the intelligent era, the smart television has been used as a common household appliance to go into thousands of households, the use scenes of the smart television are more and more compared with those of the traditional television, and accordingly, various faults and problems in the use process of the smart television also occur occasionally. How to solve the problems of the user terminal quickly and efficiently becomes a difficult problem for many smart television manufacturers.
Under the trend of informatization pace-based rapid development, big data is taken as the most active technical innovation element in a new industrial revolution, and artificial intelligence and machine learning technologies based on the big data are comprehensively reconstructing the fields of production, circulation, distribution, consumption and the like, thereby having comprehensive and deep influence on the aspects of economic development, industrial transformation, social life and the like.
At present, in order to solve the problem of a remote intelligent television terminal, time, labor and cost are wasted by means of after-sales personnel visiting services; or through the mode of remote debugging, although the time of the post-sale personnel to go to the door for service can be saved, the efficiency is still insufficient when the abnormal machines are analyzed one by one in the background. For example, patent application publication No. CN106412639A, provides a remote debugging system and method. The remote debugging system consists of an intelligent television remote debugging system, an intelligent television remote debugging terminal and an intelligent television terminal to be debugged, and the purpose of remotely debugging the terminal television is achieved; but the debugging system is independent of the terminal equipment; if the user breaks down, need maintain, still need the technical staff to place the user next door with intelligent TV remote terminal, promoted manpower, financial resources cost greatly, maneuverability is poor, debugging efficiency greatly reduced.
Disclosure of Invention
In view of this, the invention provides a remote operation and maintenance method and system for an intelligent television, which are used for solving the problem of poor timeliness of fault judgment and processing.
The invention discloses a remote operation and maintenance method of an intelligent television in a first aspect, which comprises the following steps:
the method comprises the steps that fuselage data information reported by a remote terminal is collected through a big data center, and a data set is formed by combining stored historical operation and maintenance data information and other data source data maintained after sale;
converting and extracting fault characteristics of sample data in the data set, labeling to obtain a training set, and training the artificial neural network model through the training set;
the intelligent operation and maintenance center receives the abnormal information reported by the remote terminal in real time, inputs the trained artificial neural network model to obtain the fault type and level, and searches a corresponding fault processing scheme from the data set according to the fault type and level;
and according to the fault processing scheme, issuing the corresponding plug-in package, patch or upgrading file to the remote terminal.
Preferably, the remote terminal starts a terminal performance detection module in the daily operation process, periodically reports the data information of the machine body to the big data center, and monitors abnormal information which may occur, wherein the abnormal information includes memory leakage, partition damage and file read-write abnormality.
Preferably, when the terminal performance detection module detects that a core module or a function of the terminal is seriously abnormal, the terminal performance detection module is triggered to be connected with the intelligent operation and maintenance center to request the operation and maintenance center to process the abnormal condition, receives a plug-in package, a patch or an upgrade file issued by the intelligent operation and maintenance center, executes a corresponding command, writes the patch and the plug-in into the system, and feeds an optimization result back to the big data center.
Preferably, the remote terminal provides an entrance of the after-sale support module for a user to manually click through a remote controller to enter, apply for connection with the intelligent operation and maintenance center, and trigger the intelligent operation and maintenance center to automatically process the fault condition.
Preferably, the remote terminal runs with a simplified repair system module, the simplified repair system module is loaded and entered through a boot program, when the remote terminal cannot be started normally or cannot enter the smart television system normally to reach a set number of times, after the remote terminal is powered on, the simplified repair system module is directly loaded to the memory and runs in the boot program starting stage, and after the simplified repair system module enters, the simplified repair system module is automatically connected to the network, carries abnormal information to establish connection with the intelligent operation and maintenance center, and requests the operation and maintenance center to perform fault processing on the terminal.
Preferably, after the intelligent operation and maintenance center issues the corresponding patch or plug-in, the intelligent terminal executes the corresponding command, writes the patch or plug-in into the system, and tries to normally start the system to check whether the patch or plug-in is valid; if the system is started successfully, the abnormal fault information and the processing result are returned to the big data center through the terminal performance detection module so as to train and optimize the artificial neural network model.
Preferably, the artificial neural network model is a convolutional neural network model of a multi-head attention mechanism.
In a second aspect of the present invention, a remote operation and maintenance system for a smart television is disclosed, the system comprising:
the terminal performance detection module runs in the intelligent terminal and is used for monitoring the performance of the television system in real time, reporting the information of the television body to the big data center periodically and monitoring abnormal information which may occur; when the terminal performance detection module detects that a terminal core module or a terminal function is seriously abnormal, the terminal performance detection module is triggered to be connected with the intelligent operation and maintenance center to request the operation and maintenance center to process abnormal conditions;
the big data center is used for collecting the body data information reported by the remote terminal and combining the stored historical operation and maintenance data information and other data source data maintained after sale to form a data set; converting and extracting fault characteristics of sample data in the data set, labeling to obtain a training set, and training the artificial neural network model through the training set;
the intelligent operation and maintenance center is used for loading the trained artificial neural network model, receiving the abnormal information reported by the remote terminal in real time, inputting the trained artificial neural network model to obtain the fault type and level, and searching the corresponding fault processing scheme from the data set according to the fault type and level; and according to the fault processing scheme, issuing the corresponding plug-in package, patch or upgrading file to the remote terminal.
In a third aspect of the present invention, an electronic device is disclosed, comprising: at least one processor, at least one memory, a communication interface, and a bus;
the processor, the memory and the communication interface complete mutual communication through the bus; the memory stores program instructions executable by the processor which are invoked by the processor to implement the method of the first aspect of the invention.
In a fourth aspect of the invention, a computer-readable storage medium is disclosed, which stores computer instructions for causing a computer to implement the method of the first aspect of the invention.
Compared with the prior art, the invention has the following beneficial effects:
1) the method comprises the steps that an intelligent operation and maintenance center and a big data center are maintained at an after-sales service background, the big data center is used for collecting data of a remote terminal, and an artificial neural network model is trained by using the data reported by the remote terminal, historical diagnosis records and other data sources maintained after-sales; the intelligent operation and maintenance center is used for receiving abnormal fault information of the remote terminal, outputting abnormal condition classification after the abnormal information is input by utilizing an artificial neural network model constructed by the big data center, and intelligently mapping the abnormal condition classification to an accurate fault processing scheme to realize automatic operation and maintenance of the intelligent terminal;
2) at a remote end, when serious faults such as abnormity possibly occur or abnormal starting cannot occur in the daily use process of the intelligent television, the connection with an intelligent operation and maintenance center can be automatically triggered, by means of an artificial neural network model, abnormal conditions of the intelligent diagnosis machine are intelligently diagnosed, a solution is provided in a targeted manner and sent to a terminal for processing, and automatic prevention and processing of the abnormal conditions of the remote terminal are realized; meanwhile, an interface for manually triggering connection with the intelligent operation and maintenance center is provided for a user, the operation stability of the intelligent television system is improved through various operation and maintenance ways, and the fault problem of the remote terminal is timely and efficiently processed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a framework of a remote operation and maintenance system of a smart television according to the present invention;
fig. 2 is a flowchart of a remote operation and maintenance method of an intelligent television 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 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 obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1, the smart television remote operation and maintenance system framework of the present invention includes a remote smart terminal 100, a big data center 200 at an after-sales service background, and an operation and maintenance center 300, where the smart terminal 100 is respectively connected to the data center 200 and the operation and maintenance center 300 through a network;
a terminal performance detection module 110 and a terminal after-sale support module 120 are operated in an intelligent television system in the intelligent terminal 100, and the intelligent terminal 100 further comprises a simplified repair system module 130 independent of the intelligent television system;
the terminal performance detection module 110 operates in an intelligent television system, monitors the performance of the television system in real time, and reports the body information to the big data center periodically, so that the big data center collects more data, an artificial neural network model is further trained, and more abnormal conditions are more accurately processed; and monitor possible abnormal conditions of the remote terminal, such as memory leakage, partition damage, file read-write abnormality, and the like. When the terminal performance detection module detects that the core module or the function is seriously abnormal, the terminal performance detection module is triggered to be connected with the intelligent operation and maintenance center to request the intelligent operation and maintenance center to process the abnormal condition. And after the intelligent operation and maintenance center issues the corresponding patch or the corresponding plug-in, executing the corresponding command, writing the patch or the plug-in into the system, and feeding back a processing result to the intelligent operation and maintenance center.
The terminal after-sale support module 120 runs in the smart television system, and is configured to provide an entry in the television system setting, so that a smart television user can actively trigger to request an after-sale support service. When a user perceives that the system is likely to have a fault in the using process, the user manually clicks to enter the system through a remote controller, applies for connection with the intelligent operation and maintenance center, and triggers the intelligent operation and maintenance center to automatically process the fault condition. And after the intelligent operation and maintenance center issues the corresponding patch or plug-in, the remote terminal executes the corresponding command, writes the patch or plug-in into the system, and feeds back the processing result to the intelligent operation and maintenance center.
The simplified repair system module 130 is independent of the smart television system, is a simplified system module, and is loaded and entered through a boot program; the system module interface introduction prompts a user that the machine is possibly in fault, automatic repair is carried out and shutdown is not required. When the remote terminal cannot be started normally or cannot enter the intelligent television system normally for a certain number of times (such as 3 times), after the remote terminal is powered on, the simplified system is directly loaded to the memory and operated at the stage of starting the bootstrap program. After entering the system, the system is automatically connected with the network, carries abnormal information to establish connection with the intelligent operation and maintenance center, and requests the operation and maintenance center to carry out fault processing on the terminal. And after the intelligent operation and maintenance center issues the corresponding patch or the corresponding plug-in, the terminal executes the corresponding command, writes the patch and the plug-in into the system, tries to normally start the system, and checks whether the patch or the plug-in is effective.
The big data center 200 is used for collecting various abnormal information reported by the remote terminal, performing classification processing and labeling as training samples through data extraction features and conversion, training an artificial neural network model, loading and operating the model by an intelligent operation and maintenance center module, detecting and judging the abnormal condition of the remote terminal, and providing an optimization or fault processing scheme. The training data is from historical diagnostic records, various data information reported by remote terminals, and other data sources maintained by after-sales technicians. The artificial neural network model can adopt a convolutional neural network model of a multi-head attention mechanism.
The intelligent operation and maintenance center 300 is configured to receive a fault processing request of a remote terminal, establish a reliable connection, intelligently diagnose an abnormal condition and a fault processing scheme of the remote terminal by using fault information reported by the remote terminal as an input according to an artificial neural network model established by the big data center, and issue a corresponding plug-in package or patch and an upgrade file to the remote terminal according to different processing schemes.
At a remote terminal, the intelligent television establishes contact with an after-sales service background under the following three conditions:
A. in the daily use process of the remote terminal, the terminal performance is periodically detected by the terminal performance detection module 110, and relevant data are reported to the big data center; when the core module and the function are detected to be abnormal, the terminal triggers the connection with the intelligent operation and maintenance center, systematic analysis and detection are carried out on the machine, and classification optimization processing is carried out according to the fault level and the fault category, so that the machine is prevented from being in fault and abnormal, and the normal use of a user is prevented from being influenced.
B. In the using process, after a user perceives that a machine may have a fault or has a relatively obvious fault, the user can manually trigger the connection with the intelligent operation and maintenance center through the terminal after-sale support module 120, and by means of the artificial neural network model, the abnormal condition of the machine is intelligently diagnosed and a solution is provided in a targeted manner and is issued to the terminal for processing;
C. when the occurrence frequency of the situation reaches a certain frequency (such as 3 times), after the power is on, the remote terminal directly enters a simplified repair system module 130 after a boot program is started, and in the system module, a network is connected, the connection with an after-sale intelligent maintenance center is established, the remote terminal carries relevant abnormal information and requests the intelligent operation and maintenance center to process abnormal faults; and after the intelligent operation and maintenance center issues the corresponding patch or the corresponding plug-in, the intelligent terminal executes the corresponding command, writes the patch or the plug-in into the system, tries to normally start the system, and checks whether the patch or the plug-in is effective.
Therefore, through the diversified remote maintenance modes, the automatic prevention and the timely processing of abnormal conditions of the remote terminal are realized, the running stability of the intelligent television system is improved, and the fault problem of the remote terminal is timely and efficiently processed.
Referring to fig. 2, a flowchart of the remote operation and maintenance method for the intelligent terminal of the present invention includes the following steps:
step S01, starting a big data center server, collecting data information reported by a remote terminal, combining stored historical data information with other data sources set by technicians to form a data set, converting and extracting characteristics of sample data, marking the characteristics, building an artificial neural network model, and obtaining the artificial neural network model capable of processing various abnormal conditions through multi-round training;
step S02, starting an intelligent operation and maintenance center server, loading the artificial neural network model trained by the big data center into the system, and updating and loading the model into the system in time after a new model appears in the big data center; monitoring a network port, judging whether a connection request is sent by a remote terminal, and then performing fault diagnosis and processing procedures;
step S03, in the daily use process of the intelligent television, a terminal performance detection module is started, and information is reported to a big data center periodically, so that the big data center can collect more data and an artificial neural network model is optimized; monitoring abnormal information which may occur, such as memory leakage, partition damage, file read-write abnormality and the like;
step S04, when the terminal performance detection module detects that the terminal core module or function is seriously abnormal, the connection with the intelligent operation and maintenance center is triggered to request the operation and maintenance center to process the abnormal condition;
step S05, the intelligent operation and maintenance center receives the fault processing request of the remote terminal, establishes reliable connection, obtains the abnormal information of the remote terminal, inputs the abnormal information as a parameter into the fault detection processing artificial neural network model to obtain the fault type and level, searches the corresponding fault processing scheme from the data set according to the fault type and level, and sends out the corresponding patch, plug-in or upgrade package and the like to the fault machine of the remote terminal according to the output processing scheme;
step S06, after the intelligent operation and maintenance center issues the corresponding patch or plug-in, the terminal executes the corresponding command, writes the patch or plug-in into the system, and feeds back the optimization result to the big data center;
step S07, the big data center further trains and optimizes the artificial neural network model by using the uploaded data information in the step S06;
step S08, when the user notices that the machine may have a fault in the using process, actively clicks to apply for after-sales support service, the terminal after-sales support module establishes connection with the intelligent operation and maintenance center, requests to process the fault, and returns to step S05;
and step S09, when the remote terminal cannot be started normally or cannot enter the intelligent television system normally for a certain number of times (such as 3 times), after the remote terminal is powered on, the remote terminal is directly loaded and enters a simplified repair system module at the stage of starting a bootstrap program, the simplified repair system module is automatically connected with a network, carries abnormal information to establish connection with the intelligent operation and maintenance center, and requests the intelligent operation and maintenance center to perform fault processing on the terminal.
Step S10, synchronizing step S05;
step S11, when the intelligent operation and maintenance center issues the corresponding patch or plug-in, the corresponding command is executed, the patch or plug-in is written into the television system, and normal start is tried;
s12, if the system is recovered to normal start after S11, returning the abnormal fault information and the processing result to the big data center through the terminal performance detection module so as to further train and optimize the artificial neural network model;
step S13, if the machine still can not be started normally after step S11, the machine enters the simplified repair system again after reaching a certain number of times, and returns the abnormal processing information and the processing result to the big data center; and the contact way of the after-sales technicians is displayed for the user, and the one-to-one communication solution with the after-sales technology is applied.
According to the method, an artificial neural network model for intelligently diagnosing the abnormal conditions of the machine is established by means of an artificial intelligence technology, abnormal faults and problems are intelligently processed, abnormal information of the remote terminal machine is intelligently monitored, a solution is automatically provided, the faults and the abnormalities of the remote terminal are processed through various operation and maintenance ways, the stability of the operation of an intelligent television system is improved, and the fault problems of the remote terminal are timely and efficiently processed.
The invention can intelligently analyze and diagnose the fault problem of the remote terminal in a deep learning mode with the participation of after-sales technicians as little as possible, automatically solve the terminal fault, even before the fault of the remote terminal does not occur, early warn, remedy and optimize as early as possible, and repair the fault problem under the condition that a user does not sense the use of the remote terminal.
The present invention also discloses an electronic device, comprising: at least one processor, at least one memory, a communication interface, and a bus; the processor, the memory and the communication interface complete mutual communication through the bus; the memory stores program instructions executable by the processor, and the processor calls the program instructions to implement the remote operation and maintenance method for the smart television.
The invention also discloses a computer-readable storage medium, which stores computer instructions, and the computer instructions enable the computer to realize all or part of the steps of the intelligent television remote operation and maintenance method. The storage medium includes: u disk, removable hard disk, ROM, RAM, magnetic disk or optical disk, etc.
The above-described system embodiments are merely illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts shown as units may or may not be physical units, i.e. may be distributed over a plurality of network units. Without creative labor, a person skilled in the art can select some or all of the modules according to actual needs to achieve the purpose of the solution of the embodiment.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A remote operation and maintenance method for an intelligent television is characterized by comprising the following steps:
the method comprises the steps that fuselage data information reported by a remote terminal is collected through a big data center, and a data set is formed by combining stored historical operation and maintenance data information and other data source data maintained after sale;
converting and extracting fault characteristics of sample data in the data set, labeling to obtain a training set, and training the artificial neural network model through the training set;
the intelligent operation and maintenance center receives the abnormal information reported by the remote terminal in real time, inputs the trained artificial neural network model to obtain the fault type and level, and searches a corresponding fault processing scheme from the data set according to the fault type and level;
and according to the fault processing scheme, issuing the corresponding plug-in package, patch or upgrading file to the remote terminal and executing the corresponding command.
2. The remote operation and maintenance method of the intelligent television as claimed in claim 1, wherein the remote terminal starts a terminal performance detection module in the daily operation process, periodically reports the data information of the television body to the big data center, and monitors possible abnormal information, wherein the abnormal information includes memory leakage, partition damage and abnormal reading and writing of files.
3. The remote operation and maintenance method of the intelligent television as claimed in claim 2, wherein when the terminal performance detection module detects that the core module or the function of the terminal is seriously abnormal, the terminal performance detection module triggers connection with the intelligent operation and maintenance center to request the operation and maintenance center to process the abnormal condition, receives a plug-in package, a patch or an upgrade file issued by the intelligent operation and maintenance center, executes a corresponding command, writes the patch and the plug-in into the system, and feeds back an optimization result to the big data center.
4. The remote operation and maintenance method of the intelligent television as claimed in claim 1, wherein the remote terminal provides an entrance of a terminal after-sale support module for a user to manually click through a remote controller to apply for connection with the intelligent operation and maintenance center to trigger the intelligent operation and maintenance center to automatically handle a fault condition.
5. The remote operation and maintenance method of the intelligent television as claimed in claim 1, wherein the simplified repair system module is run on the remote terminal, and is loaded and entered through a boot program, when the remote terminal cannot be started normally or cannot enter the intelligent television system normally for a set number of times, after the remote terminal is powered on, the simplified repair system module is directly loaded to a memory and run in a boot program starting stage, and after entering the simplified repair system module, the network is automatically connected, the simplified repair system module carries abnormal information to establish connection with the intelligent operation and maintenance center, and the operation and maintenance center is requested to perform fault processing on the terminal.
6. The remote operation and maintenance method of the intelligent television as claimed in claim 5, wherein after the intelligent operation and maintenance center issues the corresponding patch or plug-in, the intelligent terminal executes the corresponding command, writes the patch or plug-in into the system, tries to start the system normally, and checks whether the patch or plug-in is valid; if the system is started successfully, the abnormal fault information and the processing result are returned to the big data center through the terminal performance detection module so as to train and optimize the artificial neural network model.
7. The remote operation and maintenance method for the intelligent television as claimed in claim 5, wherein the artificial neural network model is a convolutional neural network model of a multi-head attention system.
8. A remote operation and maintenance system of an intelligent television is characterized by comprising:
the terminal performance detection module runs in the intelligent terminal and is used for monitoring the performance of the television system in real time, reporting the information of the television body to the big data center periodically and monitoring abnormal information which may occur; when the terminal performance detection module detects that a terminal core module or a terminal function is seriously abnormal, the terminal performance detection module is triggered to be connected with the intelligent operation and maintenance center to request the operation and maintenance center to process abnormal conditions;
the big data center is used for collecting the body data information reported by the remote terminal and combining the stored historical operation and maintenance data information and other data source data maintained after sale to form a data set; converting and extracting fault characteristics of sample data in the data set, marking the fault characteristics to obtain a training set, and training the artificial neural network model through the training set;
the intelligent operation and maintenance center is used for loading the trained artificial neural network model, receiving the abnormal information reported by the remote terminal in real time, inputting the trained artificial neural network model to obtain the fault type and level, and searching the corresponding fault processing scheme from the data set according to the fault type and level; and according to the fault processing scheme, issuing the corresponding plug-in package, patch or upgrading file to the remote terminal.
9. An electronic device, comprising: at least one processor, at least one memory, a communication interface, and a bus;
the processor, the memory and the communication interface complete mutual communication through the bus; the memory stores program instructions executable by the processor, the processor invoking the program instructions to implement the method of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions which cause a computer to implement the method of any one of claims 1 to 7.
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| CN202110811539.5A CN113591951A (en) | 2021-07-19 | 2021-07-19 | Remote operation and maintenance method and system for smart television |
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| CN202110811539.5A CN113591951A (en) | 2021-07-19 | 2021-07-19 | Remote operation and maintenance method and system for smart television |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114245112A (en) * | 2021-12-24 | 2022-03-25 | 四川启睿克科技有限公司 | Intelligent diagnosis and maintenance method for television products |
| CN116823175A (en) * | 2023-07-10 | 2023-09-29 | 深圳市昭行云科技有限公司 | Intelligent operation and maintenance method and system for petrochemical production informatization system |
| CN116823175B (en) * | 2023-07-10 | 2024-06-28 | 深圳市昭行云科技有限公司 | Intelligent operation and maintenance method and system for petrochemical production informatization system |
-
2021
- 2021-07-19 CN CN202110811539.5A patent/CN113591951A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114245112A (en) * | 2021-12-24 | 2022-03-25 | 四川启睿克科技有限公司 | Intelligent diagnosis and maintenance method for television products |
| CN116823175A (en) * | 2023-07-10 | 2023-09-29 | 深圳市昭行云科技有限公司 | Intelligent operation and maintenance method and system for petrochemical production informatization system |
| CN116823175B (en) * | 2023-07-10 | 2024-06-28 | 深圳市昭行云科技有限公司 | Intelligent operation and maintenance method and system for petrochemical production informatization system |
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