CN117857604A - Remote control equipment management method and system - Google Patents

Remote control equipment management method and system Download PDF

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Publication number
CN117857604A
CN117857604A CN202311633158.8A CN202311633158A CN117857604A CN 117857604 A CN117857604 A CN 117857604A CN 202311633158 A CN202311633158 A CN 202311633158A CN 117857604 A CN117857604 A CN 117857604A
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China
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message
data
constraint
matrix
target
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顾皓
高宇
郭盼成
张蒙
俞晓栋
扎依尔刚
黎鑫
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Xinjiang Huaneng Xihai Wind Power Generation Co ltd
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Xinjiang Huaneng Xihai Wind Power Generation Co ltd
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Abstract

The invention provides a remote control device management method and a remote control device management system, wherein the method comprises the steps of obtaining an initial message and generating a target message with a uniform format; classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message; a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions; generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager; and uploading centralized control center data and uploading provincial and local data are separated independently, so that safety risks such as data transmission interruption are reduced, remote control equipment data are classified, message content is analyzed intelligently, and monitoring personnel are assisted to monitor the running states of the remote control equipment and the master station.

Description

Remote control equipment management method and system
Technical Field
The present invention relates to the field of device management methods, and in particular, to a method and a system for remote device management.
Background
The 376.1 telemechanical equipment series protocol recommended by the national power grid has been accepted by numerous power equipment development units and vast users. Along with the rapid increase of application scale of remote equipment such as remote meter reading, the information security requirements of users of the vast remote equipment are increasingly urgent. However, in the prior art, the data can only pass through one remote control device and cannot be classified, so that when the data transmission from the station end to the centralized control center is abnormal, the remote control device is restarted, and unsafe events such as communication interruption and the like occur between the remote control center and the province and the local dispatching center, and a certain safety risk such as data transmission interruption is caused.
The communication protocol commonly used in the power system is an IEC (International electrotechnical Commission) protocol, and the communication between the dispatching center and the power stations and between the dispatching center and the power stations is coded by adopting the IEC protocol, so that question and answer and data transmission between the dispatching center and the power stations and between the dispatching center and the power stations are realized, and unattended operation of the power stations and the power stations is realized. In actual production work, for abnormality and fault discrimination of the remote control equipment of the power system, the content of the message often needs to be analyzed and discriminated manually, so as to judge whether the message is abnormal or not, and increase labor cost.
Therefore, how to classify the data of the remote device and intelligently analyze the content of the message becomes a problem to be solved.
Disclosure of Invention
The invention provides a remote equipment management method and a remote equipment management system, which are used for solving the problems of classification of remote equipment data and intelligent analysis of message content in the prior art.
The invention provides a remote control device management method, which comprises the following steps:
acquiring an initial message and generating a target message in a unified format;
classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message;
a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions;
and generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager.
According to the remote control device management method provided by the invention, the initial message is obtained to generate the target message with a unified format, which comprises the following steps:
obtaining a message carrying data, wherein the message carrying the data comprises centralized control center data and provincial and local area modulation data;
analyzing the initial message according to the unified message model;
and generating a corresponding message according to the analysis result to obtain a target message, wherein the target message comprises centralized control center data and provincial and local area network data.
According to the remote control device management method provided by the invention, the unified message model comprises the following steps:
the unified message model comprises a first-level structure and a second-level structure, wherein the first-level structure comprises a message header for describing common part information of a message, a message body for describing the relation of message segments and a method for describing processing of a message program; the second level structure includes fields belonging to the message body, reference fields, packets, loops, branches, and reference messages.
The unified message model also includes a third level structure including header information of the fields of the message body, data format information, method information for describing the program processing of the fields of the message body, and sub-reference data format information for the field reference associated data format information of the message body.
According to the method for managing the remote control device provided by the invention, the target message is classified to obtain a first message and a second message, and the first message and the second message are transmitted, and the method comprises the following steps:
establishing a classifier, classifying target messages comprising centralized control center data and provincial and local dispatching data to obtain a first message and a second message, wherein the first message comprises the centralized control center data, and the second message comprises the provincial and local dispatching data;
and based on the first message and the second message, correspondingly setting a first transmission mode and a second transmission mode, and carrying out classified transmission on the first message and the second message.
According to the method for managing the remote control device provided by the invention, the target message is classified to obtain a first message and a second message, and the method comprises the following steps:
constructing a feature matrix according to the target message, constructing a classifier constraint item, and constructing a classifier constraint frame according to the classifier constraint item;
and extracting characteristic values in the characteristic matrix based on the constraint framework, and screening by using a classifier to obtain a first message and a second message.
According to the remote control device management method provided by the invention, the feature matrix is constructed according to the target message, the classifier constraint item is constructed, and the classifier constraint frame is constructed according to the classifier constraint item, and the method comprises the following steps:
constructing a centralized control center data constraint term, wherein the corresponding formula is as follows:
wherein f 1 Constraint matrix representing centralized control center data calculated based on constraint terms, w ij The weight of the central control center data constraint matrix is represented, g (i, j) represents the target message matrix, m and n represent the number of rows and columns of the matrix, and the characteristic value corresponding to the target message matrix is calculated through the weight of the central control center data constraint matrix, so that a constraint term formula of the central control center data is obtained;
constructing provincial local adjustment data constraint terms, wherein the corresponding formulas are as follows:
wherein f 2 Constraint matrix s representing centralized control center data calculated based on constraint terms ij The weight of the provincial and local tone data constraint matrix is represented, g (i, j) represents the target message matrix, m and n represent the number of rows and columns of the matrix, and the characteristic value corresponding to the target message matrix is calculated through the weight of the provincial and local tone data constraint matrix, so that a constraint term formula of the provincial and local tone data is obtained; wherein w is ij Sum s ij A preset value.
And obtaining a joint constraint item according to the centralized control center data constraint item and the provincial and regional adjustment data constraint item.
According to the method for managing the remote control device provided by the invention, a message abnormality monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message abnormality conditions, comprising:
acquiring historical message data, training the historical message data by adopting a statistical algorithm to obtain a message anomaly monitoring model, wherein the historical message data comprises a message matrix characteristic value under the normal operation condition and a message matrix characteristic value under the abnormal operation condition;
analyzing the characteristic value of the message matrix under the normal operation condition and the characteristic value change condition of the message matrix under the abnormal operation condition, and analyzing the reason why the change is caused to obtain the abnormal condition of the message.
According to the remote control device management method provided by the invention, the historical message data is trained by adopting a statistical algorithm to obtain a message anomaly monitoring model, and the method comprises the following steps:
receiving the message abnormal condition;
generating an alarm message describing a non-temporary state of one or more attributes of the system at or before the generation of the anomaly information based on the anomaly condition and historical anomaly data;
and classifying the alarm messages into low risk grades and high risk grades, determining processing measures by a system for the alarm messages with the low risk grades, and sending message alarm messages to management staff and waiting for processing measures replied by the management staff for the alarm messages with the high risk grades.
The invention also provides a telemechanical equipment management system, comprising:
the acquisition module is used for: acquiring an initial message and generating a target message in a unified format;
and the classification transmission module is used for: classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message;
and a monitoring module: a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions;
and the early warning module is used for: and generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager.
According to the invention, the early warning module comprises:
a receiving unit: receiving the message abnormal condition;
message generation unit: generating an alarm message describing a non-temporary state of one or more attributes of the system at or before the generation of the anomaly information based on the anomaly condition and historical anomaly data;
a hierarchical processing unit: and classifying the alarm messages into low risk grades and high risk grades, determining processing measures by a system for the alarm messages with the low risk grades, and sending message alarm messages to management staff and waiting for processing measures replied by the management staff for the alarm messages with the high risk grades.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the telemechanical device management method according to any one of the above when executing the program.
The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a telematic device management method as described in any of the above.
Compared with the prior art, the invention has the beneficial effects that:
1. and establishing a classifier to classify target messages comprising centralized control center data and provincial local dispatching data, so that the uploaded centralized control center data and the uploaded provincial local dispatching data are separated independently, and the safety risks such as data transmission interruption are reduced.
2. Based on the message anomaly monitoring model, the collected initial message is analyzed in time to judge whether the data returned by the telemechanical equipment is abnormal, and compared with the mode of manually analyzing and judging the result after the analysis of the initial message, the method can effectively reduce the workload of monitoring personnel.
3. By alarming abnormal conditions and setting alarm grades, corresponding processing modes are set, and monitoring staff is assisted to monitor the running states of the telemechanical equipment and the master station.
The invention provides a remote control device management method and a remote control device management system, wherein the method comprises the steps of obtaining an initial message and generating a target message with a uniform format; classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message; a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions; generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager; and uploading centralized control center data and uploading provincial and local data are separated independently, so that safety risks such as data transmission interruption are reduced, remote control equipment data are classified, message content is analyzed intelligently, and monitoring personnel are assisted to monitor the running states of the remote control equipment and the master station.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a telemechanical device management method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a telemechanical device management system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
A telemechanical device management method of the present invention is described below with reference to fig. 1.
Fig. 1 is a flow chart of a remote device management method according to an embodiment of the present invention.
As shown in fig. 1, the method for managing a telemechanical device provided by the embodiment of the present invention mainly includes the following steps:
101. and obtaining the initial message and generating a target message in a unified format.
Firstly, acquiring a message carrying data to obtain an initial message, wherein the message carrying the data comprises centralized control center data and provincial and local adjustment data;
analyzing the initial message according to the unified message model;
and generating a corresponding message according to the analysis result to obtain a target message, wherein the target message comprises centralized control center data and provincial and local area network data.
Wherein, unify the message model, include:
the unified message model comprises a first-level structure and a second-level structure, wherein the first-level structure comprises a message header for describing common part information of a message, a message body for describing the relation of message segments and a method for describing processing of a message program; the second level structure includes fields belonging to the message body, reference fields, packets, loops, branches, and reference messages.
The unified message model also includes a third level structure including header information of the fields of the message body, data format information, method information for describing the program processing of the fields of the message body, and sub-reference data format information for the field reference associated data format information of the message body.
The third level structure further includes at least one of condition information for branch judgment and default information for default execution when none of the condition information for branches is satisfied.
According to the unified message model, the method for generating the corresponding message by the analysis result comprises the following specific steps: judging whether the analysis result belongs to the description object of the message body; when the analysis result belongs to the description object of the message body, continuing to judge whether the analysis result belongs to the description object of the branch; and when the analysis result belongs to the description object of the branch, generating at least one piece of condition information for branch judgment of the branch and at least one piece of default information for default execution when each piece of condition information of the branch is not satisfied according to the analysis result.
102. Classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message.
Firstly, establishing a classifier, classifying target messages comprising centralized control center data and provincial and local area modulation data to obtain a first message and a second message, wherein the first message comprises the centralized control center data, and the second message comprises the provincial and local area modulation data;
and based on the first message and the second message, correspondingly setting a first transmission mode and a second transmission mode, and carrying out classified transmission on the first message and the second message.
The establishment of the classifier can separate the uploading centralized control center data from the uploading provincial local-area data independently, and reduces security risks such as data transmission interruption.
Constructing a feature matrix according to the target message, constructing a classifier constraint item, and constructing a classifier constraint frame according to the classifier constraint item;
and extracting characteristic values in the characteristic matrix based on the constraint framework, and screening by using a classifier to obtain a first message and a second message.
In the embodiment, the principle of screening based on the classifier is that in the target message, the attributes of centralized control center data and provincial and local area modulation data are different, corresponding characteristic values are different, and the target message is classified by extracting the characteristic values.
In this embodiment, feature values corresponding to centralized control center data and provincial and local area dispatching data are set in advance in a classifier, and when a screening result of a target message is obtained and compared with a preset feature value, the target message screening result is consistent with the feature value of the centralized control center data, and the target message corresponding to the feature value can be classified as a first message, namely the centralized control center data message; when the screening result of the target message is compared with the preset characteristic value, the target message corresponding to the characteristic value can be classified as a second message, namely the provincial and local dispatching data, when the screening result of the target message is consistent with the characteristic value of the provincial and local dispatching data.
Constructing a centralized control center data constraint term, wherein the corresponding formula is as follows:
wherein f 1 Constraint matrix representing centralized control center data calculated based on constraint terms, w ij The weight of the central control center data constraint matrix is represented, g (i, j) represents the target message matrix, m and n represent the number of rows and columns of the matrix, and the characteristic value corresponding to the target message matrix is calculated through the weight of the central control center data constraint matrix, so that a constraint term formula of the central control center data is obtained;
constructing provincial local adjustment data constraint terms, wherein the corresponding formulas are as follows:
wherein f 2 Constraint matrix s representing centralized control center data calculated based on constraint terms ij The weight of the provincial and local tone data constraint matrix is represented, g (i, j) represents the target message matrix, m and n represent the number of rows and columns of the matrix, and the characteristic value corresponding to the target message matrix is calculated through the weight of the provincial and local tone data constraint matrix, so that a constraint term formula of the provincial and local tone data is obtained; wherein w is ij Sum s ij A preset value.
And obtaining a joint constraint item according to the centralized control center data constraint item and the provincial and regional adjustment data constraint item.
103. And establishing a message abnormality monitoring model, and monitoring and analyzing the first message and the second message to obtain message abnormality conditions.
Acquiring historical message data, training the historical message data by adopting a statistical algorithm to obtain a message anomaly monitoring model, wherein the historical message data comprises a message matrix characteristic value under the normal operation condition and a message matrix characteristic value under the abnormal operation condition;
analyzing the characteristic value of the message matrix under the normal operation condition and the characteristic value change condition of the message matrix under the abnormal operation condition, and analyzing the reason why the change is caused to obtain the abnormal condition of the message.
The principle of training the historical message data by adopting a statistical algorithm to obtain a message abnormality monitoring model is to obtain a characteristic value of a message matrix under the normal operation condition and a characteristic value of the message matrix under the abnormal operation condition in the historical message data, compare the change condition of the characteristic value, and analyze what cause the change is, so as to obtain the message abnormality condition by analysis.
104. And generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager.
Receiving the message abnormal condition;
generating an alarm message describing a non-temporary state of one or more attributes of the system at or before the generation of the anomaly information based on the anomaly condition and historical anomaly data;
and classifying the alarm messages into low risk grades and high risk grades, determining processing measures by a system for the alarm messages with the low risk grades, and sending message alarm messages to management staff and waiting for processing measures replied by the management staff for the alarm messages with the high risk grades.
The principle of generating the abnormal early warning information based on the abnormal condition and transmitting the abnormal early warning information to the monitoring personnel is that the abnormal condition is generated into a message alarm message, the message alarm message is classified according to the grade, the low risk and the high risk are respectively classified, corresponding processing modes are set according to the risk grade, and the monitoring of the running states of the remote control equipment and the main station is conveniently realized by auxiliary management personnel.
The remote control equipment management method provided by the embodiment comprises the steps of obtaining an initial message and generating a target message in a unified format; classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message; a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions; generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager; and uploading centralized control center data and uploading provincial and local data are separated independently, so that safety risks such as data transmission interruption are reduced, remote control equipment data are classified, message content is analyzed intelligently, and monitoring personnel are assisted to monitor the running states of the remote control equipment and the master station.
Based on the same general inventive concept, the present invention also protects a telemechanical device management system, and the telemechanical device management system provided by the present invention is described below, and the telemechanical device management system described below and the telemechanical device management method described above can be referred to correspondingly.
Fig. 2 is a schematic structural diagram of a telemechanical device management system according to an embodiment of the present invention.
As shown in fig. 2, a telemechanical device management system provided in an embodiment of the present invention includes:
the acquisition module is used for: acquiring an initial message and generating a target message in a unified format;
and the classification transmission module is used for: classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message;
and a monitoring module: a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions;
and the early warning module is used for: and generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager.
The remote control device management system provided by the embodiment comprises the steps of obtaining an initial message and generating a target message in a unified format; classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message; a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions; generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager; and uploading centralized control center data and uploading provincial and local data are separated independently, so that safety risks such as data transmission interruption are reduced, remote control equipment data are classified, message content is analyzed intelligently, and monitoring personnel are assisted to monitor the running states of the remote control equipment and the master station.
Further, the acquiring module in this embodiment is specifically configured to:
obtaining a message carrying data, wherein the message carrying the data comprises centralized control center data and provincial and local area modulation data;
analyzing the initial message according to the unified message model;
and generating a corresponding message according to the analysis result to obtain a target message, wherein the target message comprises centralized control center data and provincial and local area network data.
Further, the unified message model in this embodiment is specifically configured to:
the unified message model comprises a first-level structure and a second-level structure, wherein the first-level structure comprises a message header for describing common part information of a message, a message body for describing the relation of message segments and a method for describing processing of a message program; the second level structure includes fields belonging to the message body, reference fields, packets, loops, branches, and reference messages.
The unified message model also includes a third level structure including header information of the fields of the message body, data format information, method information for describing the program processing of the fields of the message body, and sub-reference data format information for the field reference associated data format information of the message body.
Further, the classification transmission module in this embodiment is specifically configured to:
establishing a classifier, classifying target messages comprising centralized control center data and provincial and local dispatching data to obtain a first message and a second message, wherein the first message comprises the centralized control center data, and the second message comprises the provincial and local dispatching data;
and based on the first message and the second message, correspondingly setting a first transmission mode and a second transmission mode, and carrying out classified transmission on the first message and the second message.
Further, the classifying the target message in this embodiment to obtain the first message and the second message includes:
constructing a feature matrix according to the target message, constructing a classifier constraint item, and constructing a classifier constraint frame according to the classifier constraint item;
and extracting characteristic values in the characteristic matrix based on the constraint framework, and screening by using a classifier to obtain a first message and a second message.
Constructing a classifier constraint framework according to the classifier constraint terms, including:
constructing a centralized control center data constraint term, wherein the corresponding formula is as follows:
wherein f 1 Constraint matrix representing centralized control center data calculated based on constraint terms, w ij The weight of the central control center data constraint matrix is represented, g (i, j) represents the target message matrix, m and n represent the number of rows and columns of the matrix, and the characteristic value corresponding to the target message matrix is calculated through the weight of the central control center data constraint matrix, so that a constraint term formula of the central control center data is obtained; wherein w is ij Sum s ij A preset value.
Constructing provincial local adjustment data constraint terms, wherein the corresponding formulas are as follows:
wherein f 2 Constraint matrix s representing centralized control center data calculated based on constraint terms ij The weight of the provincial and local tone data constraint matrix is represented, g (i, j) represents the target message matrix, m and n represent the number of rows and columns of the matrix, and the characteristic value corresponding to the target message matrix is calculated through the weight of the provincial and local tone data constraint matrix, so that a constraint term formula of the provincial and local tone data is obtained;
and obtaining a joint constraint item according to the centralized control center data constraint item and the provincial and regional adjustment data constraint item.
Further, the monitoring module in this embodiment is further configured to:
acquiring historical message data, training the historical message data by adopting a statistical algorithm to obtain a message anomaly monitoring model, wherein the historical message data comprises a message matrix characteristic value under the normal operation condition and a message matrix characteristic value under the abnormal operation condition;
analyzing the characteristic value of the message matrix under the normal operation condition and the characteristic value change condition of the message matrix under the abnormal operation condition, and analyzing the reason why the change is caused to obtain the abnormal condition of the message.
Further, the early warning module in this embodiment is further configured to:
receiving the message abnormal condition;
generating an alarm message describing a non-temporary state of one or more attributes of the system at or before the generation of the anomaly information based on the anomaly condition and historical anomaly data;
and classifying the alarm messages into low risk grades and high risk grades, determining processing measures by a system for the alarm messages with the low risk grades, and sending message alarm messages to management staff and waiting for processing measures replied by the management staff for the alarm messages with the high risk grades.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
As shown in fig. 3, the electronic device may include: processor 310, communication interface (Communications Interface) 320, memory 330 and communication bus 340, wherein processor 310, communication interface 320, memory 330 accomplish communication with each other through communication bus 340. Processor 310 may invoke logic instructions in memory 330 to perform a telematic device management method comprising: acquiring an initial message and generating a target message in a unified format; classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message; a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions; generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager; and uploading centralized control center data and uploading provincial and local data are separated independently, so that safety risks such as data transmission interruption are reduced, remote control equipment data are classified, message content is analyzed intelligently, and monitoring personnel are assisted to monitor the running states of the remote control equipment and the master station.
Further, the logic instructions in the memory 330 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the telematic device management method provided by the above methods, the method comprising: acquiring an initial message and generating a target message in a unified format; classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message; a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions; generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager; and uploading centralized control center data and uploading provincial and local data are separated independently, so that safety risks such as data transmission interruption are reduced, remote control equipment data are classified, message content is analyzed intelligently, and monitoring personnel are assisted to monitor the running states of the remote control equipment and the master station.
The system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A telemechanical device management method, comprising:
acquiring an initial message and generating a target message in a unified format;
classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message;
a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions;
and generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager.
2. The method for remote control device management according to claim 1, wherein the obtaining the initial message to generate the target message in the unified format includes:
obtaining a message carrying data, wherein the message carrying the data comprises centralized control center data and provincial and local area modulation data;
analyzing the initial message according to the unified message model;
and generating a corresponding message according to the analysis result to obtain a target message, wherein the target message comprises centralized control center data and provincial and local area network data.
3. The telematic device management method of claim 2, wherein the unified message model comprises:
the unified message model comprises a first-level structure and a second-level structure, wherein the first-level structure comprises a message header for describing common part information of a message, a message body for describing the relation of message segments and a method for describing processing of a message program; the second level structure includes fields belonging to the message body, reference fields, packets, loops, branches, and reference messages.
The unified message model also includes a third level structure including header information of the fields of the message body, data format information, method information for describing the program processing of the fields of the message body, and sub-reference data format information for the field reference associated data format information of the message body.
4. The method for remote device management according to claim 1, wherein the classifying the target message to obtain a first message and a second message, and transmitting the first message and the second message includes:
establishing a classifier, classifying target messages comprising centralized control center data and provincial and local dispatching data to obtain a first message and a second message, wherein the first message comprises the centralized control center data, and the second message comprises the provincial and local dispatching data;
and based on the first message and the second message, correspondingly setting a first transmission mode and a second transmission mode, and carrying out classified transmission on the first message and the second message.
5. The method for remote device management according to claim 4, wherein the classifying the target message to obtain the first message and the second message includes:
constructing a feature matrix according to the target message, constructing a classifier constraint item, and constructing a classifier constraint frame according to the classifier constraint item;
and extracting characteristic values in the characteristic matrix based on the constraint framework, and screening by using a classifier to obtain a first message and a second message.
6. The telemechanical device management method of claim 4, wherein said constructing a feature matrix from said target message, constructing a classifier constraint term, and constructing a classifier constraint frame from said classifier constraint term, comprises:
constructing a centralized control center data constraint term, wherein the corresponding formula is as follows:
wherein f 1 Constraint matrix representing centralized control center data calculated based on constraint terms, w ij The weight of the central control center data constraint matrix is represented, g (i, j) represents the target message matrix, m and n represent the number of rows and columns of the matrix, and the characteristic value corresponding to the target message matrix is calculated through the weight of the central control center data constraint matrix, so that a constraint term formula of the central control center data is obtained;
constructing provincial local adjustment data constraint terms, wherein the corresponding formulas are as follows:
wherein f 2 Constraint matrix s representing centralized control center data calculated based on constraint terms ij The weight of provincial local data constraint matrix is represented, g (i, j) represents the target message matrix, m, n represent the number of rows and columns of the matrix, and the weight of the provincial local data constraint matrix is represented by provincial local data constraint matrixCalculating a characteristic value corresponding to the target message matrix to obtain a constraint term formula of provincial and local tone data; wherein w is ij Sum s ij A preset value.
And obtaining a joint constraint item according to the centralized control center data constraint item and the provincial and regional adjustment data constraint item.
7. The method for remote control device management according to claim 1, wherein the establishing a message anomaly monitoring model monitors and analyzes the first message and the second message to obtain a message anomaly condition, includes:
acquiring historical message data, training the historical message data by adopting a statistical algorithm to obtain a message anomaly monitoring model, wherein the historical message data comprises a message matrix characteristic value under the normal operation condition and a message matrix characteristic value under the abnormal operation condition;
analyzing the characteristic value of the message matrix under the normal operation condition and the characteristic value change condition of the message matrix under the abnormal operation condition, and analyzing the reason why the change is caused to obtain the abnormal condition of the message.
8. The method for remote control device management according to claim 1, wherein training the historical message data by using a statistical algorithm to obtain a message anomaly monitoring model comprises:
receiving the message abnormal condition;
generating an alarm message describing a non-temporary state of one or more attributes of the system at or before the generation of the anomaly information based on the anomaly condition and historical anomaly data;
and classifying the alarm messages into low risk grades and high risk grades, determining processing measures by a system for the alarm messages with the low risk grades, and sending message alarm messages to management staff and waiting for processing measures replied by the management staff for the alarm messages with the high risk grades.
9. A telematic device management system, comprising:
the acquisition module is used for: acquiring an initial message and generating a target message in a unified format;
and the classification transmission module is used for: classifying target messages to obtain a first message and a second message, and transmitting the first message and the second message;
and a monitoring module: a message anomaly monitoring model is established, and the first message and the second message are monitored and analyzed to obtain message anomaly conditions;
and the early warning module is used for: and generating abnormal early warning information based on the abnormal condition, and transmitting the abnormal early warning information to a manager.
10. The telematic device management system of claim 9, wherein the early warning module comprises:
a receiving unit: receiving the message abnormal condition;
message generation unit: generating an alarm message describing a non-temporary state of one or more attributes of the system at or before the generation of the anomaly information based on the anomaly condition and historical anomaly data;
a hierarchical processing unit: and classifying the alarm messages into low risk grades and high risk grades, determining processing measures by a system for the alarm messages with the low risk grades, and sending message alarm messages to management staff and waiting for processing measures replied by the management staff for the alarm messages with the high risk grades.
CN202311633158.8A 2023-11-28 2023-11-28 Remote control equipment management method and system Pending CN117857604A (en)

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