CN112117756A - Integrated operation and maintenance method and system for scheduling control system - Google Patents
Integrated operation and maintenance method and system for scheduling control system Download PDFInfo
- Publication number
- CN112117756A CN112117756A CN201910534978.9A CN201910534978A CN112117756A CN 112117756 A CN112117756 A CN 112117756A CN 201910534978 A CN201910534978 A CN 201910534978A CN 112117756 A CN112117756 A CN 112117756A
- Authority
- CN
- China
- Prior art keywords
- control system
- information
- maintenance
- distributed
- monitoring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 87
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 61
- 238000004458 analytical method Methods 0.000 claims abstract description 36
- 238000003745 diagnosis Methods 0.000 claims abstract description 25
- 238000011156 evaluation Methods 0.000 claims abstract description 22
- 238000005516 engineering process Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims description 10
- 230000008859 change Effects 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 claims description 4
- 238000004140 cleaning Methods 0.000 claims description 4
- 238000005520 cutting process Methods 0.000 claims description 4
- 238000007418 data mining Methods 0.000 claims description 4
- 238000005553 drilling Methods 0.000 claims description 4
- 230000004927 fusion Effects 0.000 claims description 4
- 238000012098 association analyses Methods 0.000 claims description 3
- 230000001364 causal effect Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 238000005065 mining Methods 0.000 claims description 3
- 230000004931 aggregating effect Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 20
- 230000006872 improvement Effects 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 6
- 238000009826 distribution Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000013075 data extraction Methods 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000006057 Non-nutritive feed additive Substances 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012047 cause and effect analysis Methods 0.000 description 1
- 238000010219 correlation analysis Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008447 perception Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention provides an integrated operation and maintenance method and system of a scheduling control system, which comprises the following steps: based on a pre-established automation equipment model, performing distributed acquisition on the operation information of the scheduling control system; according to the operation information, distributed state monitoring, risk early warning, fault diagnosis and fault disposal are respectively carried out on the dispatching control system; summarizing the operation information, and performing centralized overall evaluation on the scheduling control system; the dispatching control system comprises a monitoring system deployed in a distributed mode and an analysis decision center deployed in a centralized mode. The method and the system realize two-stage deployment of a distributed operation and maintenance system and a centralized operation and maintenance system, carry out online acquisition and monitoring on the operation state indexes of the new generation of scheduling control system, and ensure the reliable operation of the new generation of scheduling control system by combining the technologies of intelligent analysis of the operation state, deep fault diagnosis and treatment and the like.
Description
Technical Field
The invention belongs to the technical field of power grid dispatching automation, and particularly relates to an integrated operation and maintenance method and system of a dispatching control system.
Background
With the rapid development of the ultra-high voltage alternating current and direct current hybrid large power grid and clean energy, the characteristics of the power system are deeply changed. The integrated characteristic of the power grid operation is highlighted; the demands of global monitoring, whole-network prevention and control and centralized decision making are increasingly outstanding; the power market reformation brings huge pressure to the dispatching operation of the power grid. To meet the above challenges, the existing power dispatching enterprises deploy and organize and develop a new generation dispatching control system. The new generation of dispatching control system uses the cloud computing concept for reference, adopts the integral architecture of physical distribution and logic unification, distributes and deploys the power grid monitoring function on site, concentratedly deploys the power grid analysis decision function, and simultaneously applies new technologies such as cloud computing, artificial intelligence and big data analysis in large quantity, so that the new generation of dispatching control system has the characteristics completely different from the traditional dispatching control system. No matter the system architecture is changed, or a large number of new technologies are applied, so that the relevance of various applications of a new system is enhanced, the functional structure complexity of application software is increased, meanwhile, the scale of application data is rapidly expanded, the operation and maintenance workload of a regulation and control system is increased in a geometric grade, and the traditional operation and maintenance means cannot meet the requirements of the operation and maintenance work of the regulation and control system.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an integrated operation and maintenance method and system of a scheduling control system. The method and the system provide an integrated operation and maintenance method of distributed operation and maintenance and centralized operation and maintenance two-stage deployment to adapt to the change of a new generation dispatching control system architecture, help to ensure the reliable operation of the new generation dispatching control system, and realize the change of the dispatching control system operation and maintenance from an artificial experience mode to an intelligent mode.
The adopted solution for realizing the purpose is as follows:
the improvement of an integrated operation and maintenance method of a dispatching control system is that the method comprises the following steps:
based on a pre-established automation equipment model, performing distributed acquisition on the operation information of the scheduling control system;
according to the operation information, distributed state monitoring, risk early warning, fault diagnosis and fault disposal are respectively carried out on the dispatching control system;
summarizing the operation information, and performing centralized overall evaluation on the scheduling control system;
the dispatching control system comprises a monitoring system deployed in a distributed mode and an analysis decision center deployed in a centralized mode.
The first preferred technical solution provided by the present invention is improved in that the distributed acquisition of the operation information of the scheduling control system based on the pre-established automation equipment model includes:
based on a pre-established automation equipment model, operation information is acquired at each monitoring node distributed deployment operation and maintenance client of a scheduling control system;
the monitoring nodes are respectively arranged in the monitoring system and the analysis decision center; the running information comprises information of a resource pool, a platform, a database and an application.
In a second preferred aspect of the present invention, the improvement wherein the performing distributed state monitoring of the dispatch control system based on the operation information includes:
performing classified display on each operation and maintenance client which is deployed in a distributed manner according to the type of the operation information of the scheduling control system in which the deployment is located;
extracting the key index information of the classified running information;
displaying monitoring data and alarm information of the dispatching control system according to the hierarchy of the key index information in a layering manner, and displaying the running state of the dispatching control system;
the types of the operation information include: information of resource pool, platform, database and application;
the first layer information of the key index comprises: a system resource class index, an application state class index and a system consistency index;
the first layer information of each key index comprises a plurality of second layer information, wherein the system resource class index comprises: a CPU and a memory; the application state class indicators include: an application state and a service state; the system consistency indicator comprises: the multi-activity consistency and the graph model consistency.
The third preferred technical solution provided in the present invention is improved in that the performing distributed risk early warning on the scheduling control system according to the operation information includes:
respectively performing data cleaning, cutting and fusion on the operation information of the scheduling control system where the deployment is located at each operation and maintenance client of the distributed deployment;
mining the operation rule of the dispatching control system according to the fused operation information to form a dispatching control system operation rule knowledge base;
and predicting the operation change trend of the dispatching control system based on the knowledge base, and carrying out risk early warning on the abnormal conditions which may occur.
In a fourth preferred embodiment of the present invention, the improvement wherein the performing distributed fault diagnosis on the dispatch control system according to the operation information includes:
when a dispatching control system where the deployment is located breaks down, fully considering the time and space of operation and maintenance data, the multi-dimensional characteristics of application and the association relation between the operation and maintenance data and the influence factors at each operation and maintenance client which is deployed in a distributed manner, performing association analysis and information drilling on the operation and maintenance data from multiple dimensions, and constructing an operation and maintenance fault diagnosis tree by adopting a logical causal analysis method;
digging the fault reason of the dispatching control system and realizing automatic fault positioning by utilizing the operation and maintenance fault diagnosis tree;
the influencing factors include: system environment factors, software factors, hardware factors, and operational factors.
In a fifth preferred aspect, the improvement wherein the performing fault handling on the scheduling control system according to the operation information includes:
and after the fault reason of the dispatching control system is mined according to the operation information, fault processing auxiliary decisions are provided for operation and maintenance personnel according to the fault reason, fault sources are quickly processed or isolated, and quick cooperative treatment of the faults of the dispatching control system where the deployment is located is realized.
In a sixth preferred technical solution, the improvement is that the collecting the operation information includes:
acquiring operation information of all monitoring systems and analysis decision centers;
according to all the operation information, the dispatching control system is monitored in a centralized way;
and storing the running information according to time to form running state historical data.
In a seventh preferred embodiment, the improvement of the centralized overall evaluation of the scheduling control system includes:
analyzing and counting the historical data of the running state of the dispatching control system based on a data mining technology at a centralized operation and maintenance center, and generating an analysis evaluation report;
the running state comprises a resource pool, platform software, application software and channel working conditions.
In an eighth preferred embodiment, the improvement of the automated equipment model comprises:
and respectively constructing an automation equipment model comprising configuration information and operation information of the automation equipment in an analysis decision center and each monitoring system.
In an integrated operation and maintenance system for a dispatch control system, the improvement comprising: the system comprises a data acquisition module, an operation and maintenance module and a summary evaluation module;
the data acquisition module is used for carrying out distributed acquisition on the operation information of the scheduling control system based on a pre-established automation equipment model;
the operation and maintenance module is used for respectively carrying out distributed state monitoring, risk early warning, fault diagnosis and fault disposal on the dispatching control system according to the operation information;
the summarizing and evaluating module is used for summarizing the operation information and carrying out centralized overall evaluation on the dispatching control system;
the dispatching control system comprises a monitoring system deployed in a distributed mode and an analysis decision center deployed in a centralized mode.
Compared with the closest prior art, the invention has the following beneficial effects:
the invention utilizes the scheduling control system integrated operation and maintenance method based on the physical distribution logic unified architecture to transform the traditional scheduling control system operation and maintenance mode. The invention fully combines the system architecture of 'physical distribution and logic unification' of a new generation of dispatching control system, and performs distributed acquisition on the operation information of the dispatching control system based on a pre-established automatic equipment model; according to the operation information, distributed state monitoring, risk early warning, fault diagnosis and fault disposal are respectively carried out on the dispatching control system; and summarizing the operation information, and performing centralized overall evaluation on the scheduling control system. The invention realizes two-stage deployment of a distributed operation and maintenance system and a centralized operation and maintenance system, carries out online acquisition and monitoring on the operation state indexes of the new generation of dispatching control system, and ensures the reliable operation of the new generation of dispatching control system by combining the technologies of intelligent analysis of the operation state, deep fault diagnosis and treatment and the like.
Drawings
Fig. 1 is a schematic flow chart of an integrated operation and maintenance method of a scheduling control system according to the present invention;
fig. 2 is a schematic diagram of an overall technical framework of an integrated operation and maintenance method of a scheduling control system according to the present invention;
fig. 3 is a schematic diagram of a local enlarged analysis decision center in an overall technical framework of an integrated operation and maintenance method of a scheduling control system according to the present invention;
fig. 4 is a schematic diagram of a local enlargement of a monitoring system in an overall technical framework of an integrated operation and maintenance method of a scheduling control system according to the present invention;
fig. 5 is a schematic diagram of a local enlarged view of a central operation and maintenance center in the overall technical framework of the integrated operation and maintenance method of the scheduling control system according to the present invention;
fig. 6 is a schematic diagram of a basic structure of an integrated operation and maintenance system of a scheduling control system according to the present invention;
fig. 7 is a detailed structural diagram of an integrated operation and maintenance system of a scheduling control system according to the present invention.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Example 1:
the flow diagram of the integrated operation and maintenance method of the scheduling control system provided by the invention is shown in fig. 1, and the method comprises the following steps:
step 1: based on a pre-established automation equipment model, performing distributed acquisition on the operation information of the scheduling control system;
step 2: according to the operation information, distributed state monitoring, risk early warning, fault diagnosis and fault disposal are respectively carried out on the dispatching control system;
and step 3: summarizing the operation information, and performing centralized overall evaluation on the scheduling control system;
the dispatching control system comprises a monitoring system deployed in a distributed mode and an analysis decision center deployed in a centralized mode.
Specifically, an integrated operation and maintenance method for uniformly deploying and organizing a new generation of scheduling control system for a national center of coordination is taken as an example for explanation.
The overall technical framework of the integrated operation and maintenance method of the dispatching control system is shown in fig. 2. The dispatching control system integrally comprises a monitoring system deployed in a distributed mode and an analysis decision center deployed in a centralized mode. Specifically, the analysis decision center includes a centralized deployed primary/secondary analysis decision center, and a partially enlarged schematic diagram of the analysis decision center is shown in fig. 3. The monitoring system comprises a country/branch/province/region monitoring system which is deployed in a distributed mode, and a local enlarged schematic diagram of the monitoring system is shown in fig. 4. Fig. 5 shows a schematic diagram of a local enlargement of the centralized operation and maintenance center, where the operation and maintenance center is used to obtain operation information of the scheduling control system and perform centralized operation and maintenance; meanwhile, operation and maintenance clients are deployed in each analysis decision center and each monitoring system to perform distributed operation and maintenance.
The integrated operation and maintenance method of the dispatching control system comprises the following steps:
step 101: the dispatching control system automates the distributed modeling of the equipment.
In step 101, an automation equipment model including configuration information and operation information of the automation equipment is constructed in an analysis decision center and each monitoring system.
Step 102: and (5) performing distributed acquisition on the operation information of the dispatching control system.
In step 102, based on the automation equipment model, operation and maintenance client acquisition software is deployed at each monitoring node to acquire operation information such as resource pools, platforms, databases and applications, and the acquired information is arranged at the server. The monitoring nodes are respectively arranged in the monitoring system and the analysis decision center.
Step 103: and monitoring the running state of the dispatching control system.
In step 103, the monitoring information is classified and displayed according to the type of the monitoring information, the classified key index information is extracted, hierarchical display is performed based on the key index information, details of the monitoring data are hierarchically displayed according to a data structure, important warning information contents such as resource pools, platforms, applications, services and the like are displayed, and the operating state of the system is displayed in a panoramic way through a network and software and hardware topology structure diagram.
Wherein the types of the operation information include: resource pool, platform, database and application information.
The first layer information of the key index includes: a system resource class index, an application state class index and a system consistency index;
the first layer information of each key index includes a plurality of second layer information, wherein the system resource class index includes: a CPU and a memory; the application state class indicators include: an application state and a service state; the system consistency index includes: the multi-activity consistency and the graph model consistency.
Step 104: and (5) scheduling the operation risk early warning of the control system.
And step 104, carrying out data cleaning, cutting and fusion on the massive operation information of the scheduling control system, and realizing the correlation analysis of various indexes. And excavating the operation rule of the dispatching control system to form a knowledge base of the operation rule of the dispatching control system. And predicting the operation change trend of the dispatching control system based on the knowledge base, pushing risk early warning information to the abnormal conditions which may occur, and realizing comprehensive perception of the operation state of the dispatching control system and early warning of the hidden operation danger. When the capacity of the system resource is insufficient and early-warning occurs, the resource management module of the supporting platform can dynamically adjust the system resource, and operation and maintenance personnel can manually adjust the system resource through the resource adjusting interface.
Step 105: and diagnosing faults of the dispatching control system.
Step 105 comprises: when the dispatching control system has a fault, multi-dimensional characteristics of the operation and maintenance data such as time, space and application and complex association relations between the operation and maintenance data and influence factors are fully considered, association analysis and information drilling are carried out on the operation and maintenance data from multiple dimensions, an operation and maintenance fault diagnosis tree is established by adopting a logic cause and effect analysis method, and the fault reason of the system is rapidly mined and fault automatic positioning is realized by utilizing the characteristics of intuition, clearness, clear thinking and strong logic of the operation and maintenance fault diagnosis tree.
Wherein, the influencing factors comprise: system environment factors, software factors, hardware factors, and operational factors.
Step 106: and scheduling control system fault handling.
In step 106, the cause of the fault of the dispatch control system is analyzed, a fault processing aid decision is provided for the operation and maintenance personnel, the operation and maintenance personnel are helped to make a judgment and decision on the fault, the fault source is quickly processed or isolated, and the quick cooperative handling of the fault of the dispatch control system is realized.
Step 107: and the scheduling control system collects and stores the operation data.
Step 107, collecting system operation information collected by the primary/secondary analysis decision center and the national/branch/provincial/regional monitoring system in a centralized operation and maintenance center, and performing centralized monitoring on the scheduling control system according to all the operation information; meanwhile, the running information is stored according to time to form running state historical data.
Step 108: and integrally evaluating the running state of the dispatching control system.
In step 108, in the centralized operation and maintenance center, historical data of running states such as a system resource pool, platform software, application software, channel working conditions and the like are analyzed and counted based on a data mining technology, and a visual report tool is provided to regularly generate an analysis and evaluation report.
Example 2:
based on the same invention concept, the invention also provides an integrated operation and maintenance system of the dispatching control system, and the principle of solving the technical problems of the devices is similar to the integrated operation and maintenance method of the dispatching control system, so repeated parts are not repeated.
The basic structure diagram of the system as shown in fig. 6 includes: the system comprises a data acquisition module, an operation and maintenance module and a summary evaluation module;
the system comprises a data acquisition module, a scheduling control module and a data processing module, wherein the data acquisition module is used for carrying out distributed acquisition on the operation information of the scheduling control system based on a pre-established automation equipment model;
the operation and maintenance module is used for respectively carrying out distributed state monitoring, risk early warning, fault diagnosis and fault disposal on the scheduling control system according to the operation information;
the collecting evaluation module is used for collecting the operation information and performing centralized overall evaluation on the scheduling control system;
the dispatching control system comprises a monitoring system deployed in a distributed mode and an analysis decision center deployed in a centralized mode.
The detailed structure of the integrated operation and maintenance system of the dispatching control system is shown in fig. 7.
The data acquisition module acquires operation information at each monitoring node distributed deployment operation and maintenance client of the dispatching control system based on a pre-established automation equipment model;
the monitoring nodes are respectively arranged in the monitoring system and the analysis decision center; the operation information comprises information of a resource pool, a platform, a database and an application.
The operation and maintenance module comprises a state monitoring unit, a risk early warning unit, a fault diagnosis unit and a fault handling unit.
The state monitoring unit is used for carrying out distributed state monitoring on the scheduling control system according to the operation information and comprises a classification display subunit, a data extraction subunit and a state display subunit;
the classified display subunit is used for performing classified display on each operation and maintenance client which is deployed in a distributed manner according to the type of the operation information of the scheduling control system in which the deployment is performed;
the data extraction subunit is used for extracting key index information of the classified operation information;
the state display subunit is used for displaying monitoring data and alarm information of the dispatching control system according to the hierarchy and hierarchy of the key index information and displaying the running state of the dispatching control system;
the types of the operation information include: resource pool, platform, database and application information.
Wherein, the risk early warning unit is used for carrying out distributed risk early warning to the scheduling control system according to the operation information, includes: the system comprises a data processing subunit, a knowledge base subunit and a risk early warning subunit;
the data processing subunit is used for respectively performing data cleaning, cutting and fusion on the operation information of the scheduling control system where the deployment is located at each operation and maintenance client end of the distributed deployment;
the knowledge base subunit is used for mining the operation rule of the dispatching control system according to the fused operation information to form a dispatching control system operation rule knowledge base;
and the risk early warning subunit is used for predicting the operation change trend of the scheduling control system based on the knowledge base and carrying out risk early warning on the abnormal conditions which may occur.
The fault diagnosis unit is used for carrying out distributed fault diagnosis on the scheduling control system according to the operation information, and comprises: a diagnosis tree subunit and a fault positioning subunit;
the diagnosis tree subunit is used for respectively setting up an operation and maintenance fault diagnosis tree at each operation and maintenance client terminal in distributed deployment, fully considering the time and space of the operation and maintenance data and the multidimensional characteristics of the application and the incidence relation between the operation and maintenance data and the influence factors when the scheduling control system where the deployment is located is in fault, performing incidence analysis and information drilling on the operation and maintenance data from multiple dimensions, and adopting a logical causal analysis method to set up the operation and maintenance fault diagnosis tree;
the fault positioning subunit is used for excavating the fault reason of the dispatching control system and realizing automatic fault positioning by utilizing the operation and maintenance fault diagnosis tree;
the influencing factors include: system environment factors, software factors, hardware factors, and operational factors.
The fault handling unit is used for handling faults of the scheduling control system according to the operation information, and specifically includes:
after the fault reason of the dispatching control system is excavated according to the operation information, fault processing auxiliary decision is provided for operation and maintenance personnel according to the fault reason, the fault source is quickly processed or isolated, and quick cooperative treatment of the fault of the dispatching control system where the deployment is located is realized.
Wherein, the evaluation module that gathers includes: the system comprises a data summarizing unit, a centralized monitoring unit and a data storage unit;
the data summarization unit is used for acquiring the operation information of all monitoring systems and analysis decision centers;
the centralized monitoring unit is used for carrying out centralized monitoring on the scheduling control system according to all the operation information;
and the data storage unit is used for storing the operation information according to time to form operation state historical data.
The collection evaluation module performs centralized overall evaluation on the scheduling control system, wherein the centralized overall evaluation comprises that the operation state historical data of the scheduling control system is analyzed and counted based on a data mining technology in a centralized operation and maintenance center, and an analysis evaluation report is generated;
the running state comprises a resource pool, platform software, application software and channel working conditions.
The scheduling control system integrated operation and maintenance system also comprises a modeling module;
and the modeling module is used for respectively constructing an automation equipment model comprising configuration information and operation information of the automation equipment in the analysis decision center and each monitoring system.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present application and not for limiting the scope of protection thereof, and although the present application is described in detail with reference to the above-mentioned embodiments, those skilled in the art should understand that after reading the present application, they can make various changes, modifications or equivalents to the specific embodiments of the application, but these changes, modifications or equivalents are all within the scope of protection of the claims to be filed.
Claims (10)
1. An integrated operation and maintenance method for a dispatching control system is characterized by comprising the following steps:
based on a pre-established automation equipment model, performing distributed acquisition on the operation information of the scheduling control system;
according to the operation information, distributed state monitoring, risk early warning, fault diagnosis and fault disposal are respectively carried out on the dispatching control system;
summarizing the operation information, and performing centralized overall evaluation on the scheduling control system;
the dispatching control system comprises a monitoring system deployed in a distributed mode and an analysis decision center deployed in a centralized mode.
2. The method of claim 1, wherein the distributively collecting operational information of the dispatch control system based on the pre-established automation device model comprises:
based on a pre-established automation equipment model, operation information is acquired at each monitoring node distributed deployment operation and maintenance client of a scheduling control system;
the monitoring nodes are respectively arranged in the monitoring system and the analysis decision center; the running information comprises information of a resource pool, a platform, a database and an application.
3. The method of claim 1, wherein the performing distributed state monitoring of the dispatch control system based on the operational information comprises:
performing classified display on each operation and maintenance client which is deployed in a distributed manner according to the type of the operation information of the scheduling control system in which the deployment is located;
extracting the key index information of the classified running information;
displaying monitoring data and alarm information of the dispatching control system according to the hierarchy of the key index information in a layering manner, and displaying the running state of the dispatching control system;
the types of the operation information include: information of resource pool, platform, database and application;
the first layer information of the key index comprises: a system resource class index, an application state class index and a system consistency index;
the first layer information of each key index comprises a plurality of second layer information, wherein the system resource class index comprises: a CPU and a memory; the application state class indicators include: an application state and a service state; the system consistency indicator comprises: the multi-activity consistency and the graph model consistency.
4. The method of claim 1, wherein the performing distributed risk pre-warning on the dispatch control system based on the operational information comprises:
respectively performing data cleaning, cutting and fusion on the operation information of the scheduling control system where the deployment is located at each operation and maintenance client of the distributed deployment;
mining the operation rule of the dispatching control system according to the fused operation information to form a dispatching control system operation rule knowledge base;
and predicting the operation change trend of the dispatching control system based on the knowledge base, and carrying out risk early warning on the abnormal conditions which may occur.
5. The method of claim 1, wherein the performing distributed fault diagnostics on the dispatch control system based on the operational information comprises:
when a dispatching control system where the deployment is located breaks down, fully considering the time and space of operation and maintenance data, the multi-dimensional characteristics of application and the association relation between the operation and maintenance data and the influence factors at each operation and maintenance client which is deployed in a distributed manner, performing association analysis and information drilling on the operation and maintenance data from multiple dimensions, and constructing an operation and maintenance fault diagnosis tree by adopting a logical causal analysis method;
digging the fault reason of the dispatching control system and realizing automatic fault positioning by utilizing the operation and maintenance fault diagnosis tree;
the influencing factors include: system environment factors, software factors, hardware factors, and operational factors.
6. The method of claim 5, wherein the fault handling the dispatch control system based on the operational information comprises:
and after the fault reason of the dispatching control system is mined according to the operation information, fault processing auxiliary decisions are provided for operation and maintenance personnel according to the fault reason, fault sources are quickly processed or isolated, and quick cooperative treatment of the faults of the dispatching control system where the deployment is located is realized.
7. The method of claim 1, wherein the aggregating the operational information comprises:
acquiring operation information of all monitoring systems and analysis decision centers;
according to all the operation information, the dispatching control system is monitored in a centralized way;
and storing the running information according to time to form running state historical data.
8. The method of claim 7, wherein the centralized overall evaluation of the dispatch control system comprises:
analyzing and counting the historical data of the running state of the dispatching control system based on a data mining technology at a centralized operation and maintenance center, and generating an analysis evaluation report;
the running state comprises a resource pool, platform software, application software and channel working conditions.
9. The method of claim 1, wherein the building of the automation device model comprises:
and respectively constructing an automation equipment model comprising configuration information and operation information of the automation equipment in an analysis decision center and each monitoring system.
10. An integrated operation and maintenance system of a dispatching control system is characterized by comprising: the system comprises a data acquisition module, an operation and maintenance module and a summary evaluation module;
the data acquisition module is used for carrying out distributed acquisition on the operation information of the scheduling control system based on a pre-established automation equipment model;
the operation and maintenance module is used for respectively carrying out distributed state monitoring, risk early warning, fault diagnosis and fault disposal on the dispatching control system according to the operation information;
the summarizing and evaluating module is used for summarizing the operation information and carrying out centralized overall evaluation on the dispatching control system;
the dispatching control system comprises a monitoring system deployed in a distributed mode and an analysis decision center deployed in a centralized mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910534978.9A CN112117756A (en) | 2019-06-20 | 2019-06-20 | Integrated operation and maintenance method and system for scheduling control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910534978.9A CN112117756A (en) | 2019-06-20 | 2019-06-20 | Integrated operation and maintenance method and system for scheduling control system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112117756A true CN112117756A (en) | 2020-12-22 |
Family
ID=73795807
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910534978.9A Pending CN112117756A (en) | 2019-06-20 | 2019-06-20 | Integrated operation and maintenance method and system for scheduling control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112117756A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113360159A (en) * | 2021-07-02 | 2021-09-07 | 深圳市云房网络科技有限公司 | Method and device for software automation operation and maintenance deployment |
| CN113610431A (en) * | 2021-08-23 | 2021-11-05 | 南京南瑞继保电气有限公司 | Dispatching automation duty auxiliary system and auxiliary control method |
| CN115048361A (en) * | 2022-08-12 | 2022-09-13 | 南京基石数据技术有限责任公司 | Big data-based database operation and maintenance risk early warning system and method |
-
2019
- 2019-06-20 CN CN201910534978.9A patent/CN112117756A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113360159A (en) * | 2021-07-02 | 2021-09-07 | 深圳市云房网络科技有限公司 | Method and device for software automation operation and maintenance deployment |
| CN113360159B (en) * | 2021-07-02 | 2022-04-26 | 深圳市云房网络科技有限公司 | Method and device for software automation operation and maintenance deployment |
| CN113610431A (en) * | 2021-08-23 | 2021-11-05 | 南京南瑞继保电气有限公司 | Dispatching automation duty auxiliary system and auxiliary control method |
| CN115048361A (en) * | 2022-08-12 | 2022-09-13 | 南京基石数据技术有限责任公司 | Big data-based database operation and maintenance risk early warning system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107402976B (en) | Power grid multi-source data fusion method and system based on multi-element heterogeneous model | |
| CN107886238B (en) | Business process management system and method based on mass data analysis | |
| CN106557991B (en) | Voltage monitoring data platform | |
| CN107330056B (en) | Wind power plant SCADA system based on big data cloud computing platform and operation method thereof | |
| CN112117756A (en) | Integrated operation and maintenance method and system for scheduling control system | |
| CN107346466A (en) | A kind of control method and device of electric power dispatching system | |
| CN105337765A (en) | Distributed hadoop cluster fault automatic diagnosis and restoration system | |
| CN115809183A (en) | Method for discovering and disposing information-creating terminal fault based on knowledge graph | |
| CN105989427B (en) | Equipment state trend analysis and early warning method based on data mining | |
| CN110990391A (en) | Integration method and system of multi-source heterogeneous data, computer equipment and storage medium | |
| CN112462696A (en) | Intelligent manufacturing workshop digital twin model construction method and system | |
| CN113537772A (en) | Wisdom energy management and control platform based on industry internet | |
| CN112765232B (en) | Data management method and system for major equipment of nuclear power plant | |
| CN103049365B (en) | Information and application resource running state monitoring and evaluation method | |
| CN110033102A (en) | A kind of huge hydroelectric power plant has the intelligent diagnosing method and expert system of learning functionality | |
| CN117493412A (en) | Digital base operation management system | |
| CN115908046A (en) | Visual power distribution system based on airport terminal building BIM | |
| CN105930255A (en) | Method and apparatus for predicting health degree of system | |
| CN116094174A (en) | Knowledge graph-based power grid operation and maintenance monitoring method, system, equipment and medium | |
| CN103530708A (en) | Power transmission and distribution equipment hidden danger troubleshooting information management and decision support system | |
| CN108647860A (en) | Power equipment state monitoring based on OpenStack and assessment cloud platform | |
| CN110245163A (en) | A kind of Operation of Electric Systems hidden troubles removing method | |
| CN114529166A (en) | Power distribution network operation safety risk early warning method and system | |
| CN117313845A (en) | Power grid fault detection auxiliary method and system based on knowledge graph | |
| KR102272296B1 (en) | Secondary battery performance evaluation support apparatus, performance evaluation data storing and analysis system, and using method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |