CN111327468A - Operation method and system for edge computing platform of power system - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/02—Standardisation; Integration
- H04L41/0246—Exchanging or transporting network management information using the Internet; Embedding network management web servers in network elements; Web-services-based protocols
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
Abstract
The invention discloses an operation method and system for an edge computing platform of a power system, wherein the method comprises the following steps: acquiring monitoring data according to a preset monitoring rule; converting the monitored data into data in a preset format and storing the data in a corresponding data service queue; monitoring the change information of the data service queue in real time, and acquiring a data change message when the data service queue changes; processing the data change message according to a preset rule, acquiring a notification message, and storing the notification message into a message service queue; sending the new notification message in the message service queue to a preset corresponding application through a preset communication channel; the method and the system can establish edge nodes in the digital transformer substation, provide data processing and computing capability support, standardized data interfaces and application operating environments and convenient communication interfaces for rapidly deploying various services and software based on the substation area data in the local transformer substation.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to an operation method and system for an edge computing platform of an electric power system.
Background
The power system is a hierarchical physical network bearing mass information, and realizes wide-area coordinated operation control of a power grid through information interaction and function cooperation of a source side, a network side, a load side and a dispatching side. In recent years, rapid development of information communication technology, power electronic technology, artificial intelligence technology, and the like has led to a profound change in the operating characteristics of power systems. The problems of large access of new energy, obvious trend of power electronics of the power system and the like bring a lot of risks to the stability characteristics of the power system, so that the fault resistance of the power grid is reduced, the dependence degree on a stability control device is greatly improved, dynamic reactive power reserves are continuously reduced, and the like. In addition, the existing pre-patterned three-defense line mode has poor compatibility, and the security control model based on offline strategy matching has the problems of low efficiency for safety conversion and easy occurrence of mismatching safety risk, so that the practical requirements of the current and future power grids on safety and efficiency are difficult to meet. At the present stage, the power grid in China has the characteristics of wide coverage range, long transmission distance, large installed capacity, strong fault impact and the like, the traditional steady-state control and protection strategy is difficult to effectively resist the disturbance impact of the system, and the load simulation control is difficult to meet the requirement of accurate real-time performance of the power grid application, so that the online analysis and wide-area coordination of the power grid are difficult to really realize.
In actual power grid operation, the dispatching center needs to perform equivalent modeling on a power generation side and a load side, perform real-time evaluation on the operation state of the power grid side, perform evaluation and safety risk analysis on power grid protection actions and the like, and complex multi-source data required by the tasks can bring heavy burden to a northbound communication channel of a power system. Meanwhile, data delay and packet dropping caused by communication blockage are considered, so that great influence is brought to tasks with high real-time requirements such as power grid operation state evaluation, safety risk analysis of protection actions and the like, and even the safety of a power system is damaged.
Disclosure of Invention
In order to solve the problems that complex multi-source data required by a task at a dispatching end in the background technology can heavily burden a northbound communication channel of an electric power system and even influence the safety of the electric power system, the invention provides an operation method and an operation system of an edge computing platform for the electric power system; according to the method and the system, the edge computing platform is deployed in the digital transformer substation, so that various services and software based on the substation area data are rapidly deployed locally for the transformer substation, and data processing and computing capability support are provided; a method of operation for an edge computing platform of a power system, comprising:
acquiring monitoring data according to a preset monitoring rule;
converting the monitored data into data in a preset format and storing the data in a corresponding data service queue;
monitoring the change information of the data service queue in real time, and acquiring a data change message when the data service queue changes;
processing the data change message according to a preset rule, acquiring a notification message, and storing the notification message into a message service queue;
and sending the new notification message in the message service queue to a preset corresponding application through a preset communication channel.
Further, the monitoring data includes MMS message data and GOOSE message data, and the preset monitoring rule includes that MMS message data and/or GOOSE message data are obtained through monitoring through an MMS message interface and/or a GOOSE message interface of the digital substation; before converting the listening data into data in a preset format, the method further includes:
analyzing the MMS message data and/or GOOSE message data, and summarizing and extracting to obtain an intermediate data structure based on an analysis result;
and preprocessing the intermediate data structure according to a preset rule, wherein the preprocessing method comprises filtering, eliminating errors and redundant information.
Further, the monitoring data comprises system equivalence and analysis task data;
the preset monitoring rule comprises a VPN interface connected with a dispatching end through a digital transformer substation, system equivalence is obtained through recognition monitoring, and task data are analyzed.
Further, the preset corresponding application accesses a data service queue through the notification message to obtain a corresponding system equivalence and analysis task data in a preset format;
after the processing of the preset corresponding application, the task processing result returned by the application is uploaded to a scheduling end and/or a predetermined specific position through a preset communication channel through a northbound communication service.
Furthermore, the updating data of the program and the calculation model are monitored through a VPN interface connected with the digital transformer substation and the dispatching end;
when monitoring and acquiring the updating data of the program and the calculation model, analyzing the updating data according to a preset rule to acquire updating information;
and processing the updating information according to a preset rule to obtain an updating notification message, and storing the updating notification message to a message service queue.
Further, the preset corresponding application obtains corresponding update information in a program and calculation model update queue according to the received update notification message;
correspondingly processing the application process according to the updating information; the processing includes stopping of application processes, updating of programs and data, and restarting applications.
Further, storing the data service queue;
and storing the program and the calculation model updating queue.
Further, monitoring the state of the edge computing platform; the state monitoring comprises monitoring a platform running state, an application running state and a hardware device state;
the edge computing platform is maintained remotely through a scheduling end; and the remote maintenance comprises checking the state monitoring result and issuing a control instruction to the edge computing platform, wherein the control instruction comprises instructions of platform start and stop and operation data query.
The edge computing platform system for a power system comprises:
the monitoring and acquisition unit is connected with the digital substation and the dispatching end and used for acquiring monitoring data according to a preset monitoring rule;
the data processing unit is used for converting the monitoring data into data in a preset format and storing the data in a corresponding data service queue;
the data processing unit is used for monitoring the change information of the data service queue in real time, and acquiring a data change message when the data service queue changes;
the message unit is used for processing the data change message according to a preset rule, acquiring a notification message and storing the notification message into a message service queue;
and the communication unit is used for being in communication connection with the preset application and sending the new notification message in the message service queue to the preset corresponding application through a preset communication channel.
Further, the monitoring acquisition unit is used for monitoring and acquiring MMS message monitoring data and/or GOOSE message data through an MMS message interface and/or a GOOSE message interface of the digital substation; the monitoring data comprises MMS message data and GOOSE message data; the monitoring acquisition unit is used for analyzing the monitoring data and summarizing and extracting to obtain an intermediate data structure based on the analysis result;
the monitoring acquisition unit is used for preprocessing the intermediate data structure according to a preset rule, and the preprocessing method comprises filtering, eliminating errors and redundant information.
Furthermore, the monitoring acquisition unit is used for identifying and monitoring the equivalent and analysis task data of the system through a VPN interface connected with the digital transformer substation and the dispatching end.
Further, the preset corresponding application accesses a data service queue through the communication unit according to the notification message to obtain system equivalence and analysis task data in a corresponding preset format;
after the processing of the preset corresponding application, the northbound communication service of the communication unit uploads the task processing result returned by the application to a scheduling end and/or a predetermined specific position through a preset communication channel.
Furthermore, the monitoring acquisition unit is used for monitoring the program and the updated data of the calculation model through a VPN interface connected with the digital transformer substation and the dispatching end;
when monitoring and acquiring the update data of the program and the calculation model, the data processing unit is used for analyzing the update data according to a preset rule to acquire update information;
and the message unit is used for processing the updating information according to a preset rule, acquiring an updating notification message and storing the updating notification message to a message service queue.
Further, the preset corresponding application obtains corresponding update information in a program and calculation model update queue according to the received update notification message;
the data processing unit correspondingly processes the application process according to the updating information; the processing includes stopping of application processes, updating of programs and data, and restarting applications.
Further, the system also comprises a storage unit;
the storage unit is used for storing the data service queue;
the storage unit is used for storing the program and the calculation model updating queue.
Further, the system further comprises: a state monitoring unit and a remote maintenance unit;
the state monitoring unit is used for monitoring the state of the edge computing platform; the state monitoring comprises monitoring a platform running state, an application running state and a hardware device state;
the remote maintenance unit is used for remotely maintaining the edge computing platform through a scheduling end; and the remote maintenance comprises checking the state monitoring result and issuing a control instruction to the edge computing platform, wherein the control instruction comprises instructions of platform start and stop and operation data query.
The invention has the beneficial effects that: the technical scheme of the invention provides an operation method and a system for an edge computing platform of an electric power system; the method and the system can establish edge nodes in the digital transformer substation, provide data processing and computing capability support, standardized data interfaces and application operating environments and convenient communication interfaces for rapidly deploying various services and software based on the substation area data in the local transformer substation. The method and the system provide a basic platform for realizing the edge processing of the station domain data, the research and development and deployment of the local high-level application of the transformer substation, the scheduling, the cloud edge cooperation among the edge nodes of the transformer substation and the like.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
FIG. 1 is a flow chart of a method of operation of an edge computing platform for a power system in accordance with an embodiment of the present invention;
FIG. 2 is a block diagram of an operating system for an edge computing platform of a power system, in accordance with an embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
FIG. 1 is a flow chart of a method of operation of an edge computing platform for a power system in accordance with an embodiment of the present invention; as shown in fig. 1, the method comprises:
in this embodiment, the edge computing platform is deployed in a digital substation connected to a power system dispatching end to form an edge node; the edge computing node processes and stores the data transmitted to the transformer substation, provides services such as data and storage for application programs running on the edge node, and provides and dispatches communication services according to needs. And remote management of the edge nodes is realized at a remote maintenance end for scheduling and deploying the edge computing platform.
The monitoring data described in this embodiment includes MMS message data, GOOSE message data, and other messages available in the digital substation; the preset monitoring rule comprises the steps of monitoring and obtaining MMS message data, GOOSE message data and/or other available messages in the digital substation through an MMS message interface and/or a GOOSE message interface of the digital substation;
after the monitored data are obtained, analyzing the monitored data, and summarizing and extracting to obtain an intermediate data structure based on the analysis result;
and preprocessing the intermediate data structure according to a preset rule, wherein the preprocessing method comprises filtering, eliminating errors and redundant information.
Further, the monitoring data comprises system equivalence and analysis task data;
the system equivalence and analysis task data are generated by an analysis task issued by a scheduling end and are communicated with the edge computing platform through a VPN interface of the integrated substation system;
the preset monitoring rule comprises a VPN interface connected with a dispatching end through a digital transformer substation, system equivalence is obtained through recognition monitoring, and task data are analyzed.
the monitored data may have various data format structures due to different types and different data sources of the monitored data, so as to ensure that the data structure can meet the requirement of each application program on the edge node on the information of the transformer substation; and converting various monitoring data into a standard unified preset format by a format conversion method.
And converting the format-completed data, completing updating marks in the corresponding data service queue, and storing the data service queue according to a preset rule.
when the data service queue changes, the content corresponding to the change is an instruction or a message to be notified to the corresponding application; by monitoring the change information of the data service queue, the real-time monitoring and real-time response to the instruction and the message are realized.
and 150, sending the new notification message in the message service queue to a preset corresponding application through a preset communication channel.
After receiving the new notification message, the corresponding application accesses a data service queue through the notification message to obtain corresponding system equivalence and analysis task data in a preset format;
the application executes tasks according to system equivalence and analysis task data and feeds back results through communication with the edge computing platform;
specifically, the task processing result returned by the application is uploaded to a scheduling end and/or a predetermined specific position through a preset communication channel through the northbound communication service.
Furthermore, the updating data of the program and the calculation model are monitored through a VPN interface connected with the digital transformer substation and the dispatching end;
when monitoring and acquiring the updating data of the program and the calculation model, analyzing the updating data according to a preset rule to acquire updating information;
and processing the updating information according to a preset rule to obtain an updating notification message, and storing the updating notification message to a message service queue.
Further, the preset corresponding application obtains corresponding update information in a program and calculation model update queue according to the received update notification message;
correspondingly processing the application process according to the updating information; the processing includes stopping of application processes, updating of programs and data, and restarting applications.
Further, the edge calculation level includes a storage service, and the data service queue, and the program and calculation model update queue are stored by the storage service.
Further, monitoring the state of the edge computing platform; the state monitoring comprises monitoring a platform running state, an application running state and a hardware device state;
the edge computing platform is maintained remotely through a scheduling end; and the remote maintenance comprises checking the state monitoring result and issuing a control instruction to the edge computing platform, wherein the control instruction comprises instructions of platform start and stop and operation data query.
FIG. 2 is a block diagram of an operating system for an edge computing platform of a power system, in accordance with an embodiment of the present invention. As shown in fig. 2, the system includes:
the monitoring and collecting unit 210 is used for connecting the digital transformer substation and the dispatching end, and obtaining monitoring data through a preset monitoring rule;
the data processing unit 220 is configured to convert the monitored data into data in a preset format, and store the data in a corresponding data service queue;
the data processing unit 220 is configured to monitor change information of the data service queue in real time, and obtain a data change message when the data service queue changes;
a message unit 230, where the message unit 230 is configured to process the data change message according to a preset rule, obtain a notification message, and store the notification message in a message service queue;
a communication unit 240, where the communication unit 240 is configured to be in communication connection with the preset application, and send the new notification message in the message service queue to a preset corresponding application through a preset communication channel.
Further, the monitoring and collecting unit 210 is configured to monitor and obtain MMS message monitoring data and/or GOOSE message data through an MMS message interface and/or a GOOSE message interface of the digital substation; the monitoring data comprises MMS message data and GOOSE message data; the monitoring acquisition unit 210 is configured to analyze the monitored data, and collect and extract an intermediate data structure from an analysis result;
the monitoring and collecting unit 210 is configured to pre-process the intermediate data structure according to a preset rule, where the pre-processing method includes filtering, rejecting errors, and redundant information.
Further, the monitoring acquisition unit 210 is configured to identify and monitor the obtained system equivalent and analyze task data through a VPN interface between the digital substation and the scheduling end.
Further, the preset corresponding application accesses a data service queue through the communication unit 240 according to the notification message, and obtains a corresponding system equivalent and analysis task data in a preset format;
after being processed by the preset corresponding application, the northbound communication service of the communication unit 240 uploads the task processing result returned by the application to the scheduling end and/or a predetermined specific location through a preset communication channel.
Further, the monitoring and collecting unit 210 is configured to monitor the update data of the program and the calculation model through a VPN interface between the digital substation and the scheduling end;
when the update data of the program and the calculation model are obtained through monitoring, the data processing unit 220 is configured to analyze the update data according to a preset rule to obtain update information;
the message unit 230 is configured to process the update information according to a preset rule, obtain an update notification message, and store the update notification message in a message service queue.
Further, the preset corresponding application obtains corresponding update information in a program and calculation model update queue according to the received update notification message;
the data processing unit 220 performs corresponding processing on the applied process according to the update information; the processing includes stopping of application processes, updating of programs and data, and restarting applications.
Further, the system further includes a storage unit 250;
the storage unit 250 is configured to store the data service queue;
the storage unit 250 is used for storing the program and the calculation model update queue.
Further, the system further comprises: a status monitoring unit 260 and a remote maintenance unit 270;
the state monitoring unit 260 is configured to perform state monitoring on the edge computing platform; the state monitoring comprises monitoring a platform running state, an application running state and a hardware device state;
the remote maintenance unit 270 is configured to perform remote maintenance on the edge computing platform through a scheduling end; and the remote maintenance comprises checking the state monitoring result and issuing a control instruction to the edge computing platform, wherein the control instruction comprises instructions of platform start and stop and operation data query.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the disclosure may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. Reference to step numbers in this specification is only for distinguishing between steps and is not intended to limit the temporal or logical relationship between steps, which includes all possible scenarios unless the context clearly dictates otherwise.
Moreover, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the disclosure and form different embodiments. For example, any of the embodiments claimed in the claims can be used in any combination.
Various component embodiments of the disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. The present disclosure may also be embodied as device or system programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present disclosure may be stored on a computer-readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the disclosure, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The disclosure may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several systems, several of these systems may be embodied by one and the same item of hardware.
The foregoing is directed to embodiments of the present disclosure, and it is noted that numerous improvements, modifications, and variations may be made by those skilled in the art without departing from the spirit of the disclosure, and that such improvements, modifications, and variations are considered to be within the scope of the present disclosure.
Claims (16)
1. A method of operating an edge computing platform for a power system, the method comprising:
acquiring monitoring data according to a preset monitoring rule;
converting the monitored data into data in a preset format and storing the data in a corresponding data service queue;
monitoring the change information of the data service queue in real time, and acquiring a data change message when the data service queue changes;
processing the data change message according to a preset rule, acquiring a notification message, and storing the notification message into a message service queue;
and sending the new notification message in the message service queue to a preset corresponding application through a preset communication channel.
2. The method according to claim 1, wherein the monitoring data comprises MMS message data and GOOSE message data, and the preset monitoring rule comprises monitoring and obtaining the MMS message data and/or GOOSE message data through an MMS message interface and/or a GOOSE message interface of the digital substation; before converting the listening data into data in a preset format, the method further includes:
analyzing the MMS message data and/or GOOSE message data, and summarizing and extracting to obtain an intermediate data structure based on an analysis result;
and preprocessing the intermediate data structure according to a preset rule, wherein the preprocessing method comprises filtering, eliminating errors and redundant information.
3. The method of claim 1, wherein:
the monitoring data comprises system equivalence and analysis task data;
the preset monitoring rule comprises a VPN interface connected with a dispatching end through a digital transformer substation, system equivalence is obtained through recognition monitoring, and task data are analyzed.
4. The method of claim 3, wherein:
the preset corresponding application accesses a data service queue through the notification message to obtain a corresponding system equivalent and analysis task data in a preset format;
after the processing of the preset corresponding application, the task processing result returned by the application is uploaded to a scheduling end and/or a predetermined specific position through a preset communication channel through a northbound communication service.
5. The method of claim 1, wherein:
monitoring the program and the updated data of the calculation model through a VPN interface connected with a dispatching end by a digital transformer substation;
when monitoring and acquiring the updating data of the program and the calculation model, analyzing the updating data according to a preset rule to acquire updating information;
and processing the updating information according to a preset rule to obtain an updating notification message, and storing the updating notification message to a message service queue.
6. The method of claim 5, wherein:
the preset corresponding application obtains corresponding updating information in a program and calculation model updating queue according to the received updating notification message;
correspondingly processing the application process according to the updating information; the processing includes stopping of application processes, updating of programs and data, and restarting applications.
7. The method of claim 6, further comprising:
storing the data service queue;
and storing the program and the calculation model updating queue.
8. The method of claim 1, wherein:
monitoring the state of the edge computing platform; the state monitoring comprises monitoring a platform running state, an application running state and a hardware device state;
the edge computing platform is maintained remotely through a scheduling end; and the remote maintenance comprises checking the state monitoring result and issuing a control instruction to the edge computing platform, wherein the control instruction comprises instructions of platform start and stop and operation data query.
9. An edge computing platform system for a power system, the system comprising:
the monitoring and acquisition unit is connected with the digital substation and the dispatching end and used for acquiring monitoring data according to a preset monitoring rule;
the data processing unit is used for converting the monitoring data into data in a preset format and storing the data in a corresponding data service queue;
the data processing unit is used for monitoring the change information of the data service queue in real time, and acquiring a data change message when the data service queue changes;
the message unit is used for processing the data change message according to a preset rule, acquiring a notification message and storing the notification message into a message service queue;
and the communication unit is used for being in communication connection with the preset application and sending the new notification message in the message service queue to the preset corresponding application through a preset communication channel.
10. The system of claim 9, wherein:
the monitoring acquisition unit is used for monitoring and acquiring monitoring data through a message interface of the digital transformer substation; the monitoring data comprises MMS message data and GOOSE message data;
the monitoring acquisition unit is used for analyzing the monitoring data and summarizing and extracting to obtain an intermediate data structure based on the analysis result;
the monitoring acquisition unit is used for preprocessing the intermediate data structure according to a preset rule, and the preprocessing method comprises filtering, eliminating errors and redundant information.
11. The system of claim 9, wherein:
and the monitoring acquisition unit is used for identifying and monitoring the equivalent and analysis task data of the system through a VPN interface connected with the digital transformer substation and the dispatching end.
12. The system of claim 9, wherein:
the preset corresponding application accesses a data service queue through the communication unit according to the notification message to obtain corresponding system equivalence and analysis task data in a preset format;
after the processing of the preset corresponding application, the northbound communication service of the communication unit uploads the task processing result returned by the application to a scheduling end and/or a predetermined specific position through a preset communication channel.
13. The system of claim 9, wherein:
the monitoring acquisition unit is used for monitoring the program and the updated data of the calculation model through a VPN interface connected with the digital transformer substation and the dispatching end;
when monitoring and acquiring the update data of the program and the calculation model, the data processing unit is used for analyzing the update data according to a preset rule to acquire update information;
and the message unit is used for processing the updating information according to a preset rule, acquiring an updating notification message and storing the updating notification message to a message service queue.
14. The system of claim 13, wherein:
the preset corresponding application obtains corresponding updating information in a program and calculation model updating queue according to the received updating notification message;
the data processing unit correspondingly processes the application process according to the updating information; the processing includes stopping of application processes, updating of programs and data, and restarting applications.
15. The system of claim 14, wherein: the system further comprises a storage unit;
the storage unit is used for storing the data service queue;
the storage unit is used for storing the program and the calculation model updating queue.
16. The system of claim 9, further comprising: a state monitoring unit and a remote maintenance unit;
the state monitoring unit is used for monitoring the state of the edge computing platform; the state monitoring comprises monitoring a platform running state, an application running state and a hardware device state;
the remote maintenance unit is used for remotely maintaining the edge computing platform through a scheduling end; and the remote maintenance comprises checking the state monitoring result and issuing a control instruction to the edge computing platform, wherein the control instruction comprises instructions of platform start and stop and operation data query.
Priority Applications (1)
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