CN109301936B - Intelligent substation operation and maintenance information monitoring system based on container scheduling framework - Google Patents
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- 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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/16—Electric power substations
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Abstract
The invention discloses an intelligent substation operation and maintenance information monitoring system based on a container scheduling framework, which comprises a substation operation data sending module, a container scheduling framework, a processing and analyzing module and a processing and outputting module, wherein the output end of the processing and outputting module is connected with the input end of a substation monitoring data searching system, and the input end of the processing and outputting module is connected with the output end of the processing and analyzing module. According to the intelligent substation operation and maintenance information monitoring system based on the container scheduling framework, a plurality of containers can be operated and maintained at the same time at a small cost through the container scheduling framework, dependence on hardware configuration is reduced, competition of tasks after fine granularity on physical host resources is balanced and ordered, stability and reliability of the system are improved to a great extent, information processed by the container framework is displayed on a monitoring computer, checking of workers is facilitated, and operation of a substation is maintained conveniently.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to an intelligent substation operation and maintenance information monitoring system based on a container scheduling architecture.
Background
Along with the expansion of the scale of the power grid and the popularization of the information technology, the wave recording master station system has increasingly obvious supporting effect on scheduling decision, can realize wide-area power grid disturbance monitoring, fault identification, accident analysis and information release and improve the reliability of power transmission, and on the other hand, due to the application of a new technology[2-4]The equipment is continuously increased, and the recording information gradually presents the following new characteristics: the sea volume property: the method has the advantages that due to the factors of high sampling rate, multiple recording channels, sensitive starting and the like, a single information point is huge and can reach 400MB under extreme conditions, and the method has the following isomerism: the differences in data format, parameter configuration, record target and sampling frequency all result in great fault tolerance pressure when recording information is collected and processed, and the sudden change is as follows: regional multiple spots and high hair caused by influence of seasons, environment and weatherThe wave recording information is centrally sent to the wave recording master station to cause channel blockage, delay processing and other consequences, the above characteristics of the wave recording information form the primary reason of instability of the master station system, and the wave recording master station of the Yunnan power grid is taken as an example to be hard to restrict: the capacity and power supply condition of a communication machine room are limited, the purchasing period of hardware such as a server host is long, the updating and updating are slow, the fixed asset expenditure proportion of a power grid is low, and the like, and the soft constraint is as follows: the method for improving the performance of the master station by increasing hardware equipment such as a server and the like to adapt to the new characteristics of the recording information generates larger hysteresis on the occasion, and the applicability boundary of the required hardware configuration is difficult to determine, so that the method is not an optimal choice, and is used for the operation and maintenance information management of the transformer substation.
At present, in the process of monitoring the operation and maintenance information of a transformer substation, the information processing speed is low, the dependence on hardware configuration is large, a plurality of containers cannot be operated and maintained at the same time at a small cost, the purpose of rapidly processing the operation and maintenance information of the transformer substation by batch creation and destruction of the containers at millisecond level cannot be achieved, the capacity of autonomously adjusting creation opportunity and fine granularity strategy under a set condition cannot be achieved, the problem that the conventional method of forcibly binding the classified services to a specific host cannot be solved, the overload risk possibly forming the main station under an extreme condition cannot be avoided, the stability and the reliability of a system cannot be guaranteed, meanwhile, the checking by workers is inconvenient, and the intelligent monitoring effect cannot be achieved.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an intelligent substation operation and maintenance information monitoring system based on a container scheduling architecture, which solves the problems that the existing substation operation and maintenance information processing speed is low, the dependence on hardware configuration is high, a plurality of containers cannot be operated and maintained simultaneously at a small cost, the purpose of rapidly processing the substation operation and maintenance information by batch creation and destruction of the containers at millisecond level cannot be achieved, the overload risk possibly formed on a main station under extreme conditions cannot be avoided, the stability and the reliability of the system cannot be guaranteed, meanwhile, the checking by workers is inconvenient, and the intelligent monitoring effect cannot be achieved.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: an intelligent substation operation and maintenance information monitoring system based on a container scheduling architecture comprises a substation operation data sending module, a container scheduling framework, a processing and analyzing module and a processing and outputting module, the output end of the processing output module is connected with the input end of the substation monitoring data consulting system, the input end of the processing output module is connected with the output end of the processing analysis module, the substation monitoring data consulting system comprises a processing result receiving module, a monitoring center computer display module, a data real-time updating module and a page turning consulting module, the output end of the processing result receiving module is connected with the input end of the monitoring center computer display module, and the output end of the monitoring center computer display module is connected with the input end of the data real-time updating module, and the output end of the data real-time updating module is connected with the input end of the page turning look-up module.
Preferably, the container scheduling framework includes a task pool, a scheduler, a resource pool, a physical host, and a container pool, and an input end of the task pool is connected to an output end of the scheduler.
Preferably, the output end of the task pool is connected with the input end of the container pool, and the output end of the scheduler is connected with the input end of the resource pool.
Preferably, the scheduler is in bidirectional connection with the container pool, and the input end of the container pool is connected with the output end of the resource pool.
Preferably, the output end of the physical host is connected with the input end of the resource pool.
Preferably, the input end of the scheduler is connected with the output end of the substation operation data sending module, and the output end of the container pool is connected with the input end of the processing and analyzing module.
Preferably, the task pool is composed of n tasks, and the resource pool is composed of n resources.
Preferably, the container pool is composed of n containers, and each container contains a task and resource inside.
(III) advantageous effects
The invention provides an intelligent substation operation and maintenance information monitoring system based on a container scheduling architecture. Compared with the prior art, the method has the following beneficial effects: the intelligent substation operation and maintenance information monitoring system based on the container scheduling architecture is characterized in that the output end of a processing output module is connected with the input end of a substation monitoring data lookup system, the input end of the processing output module is connected with the output end of a processing analysis module, the substation monitoring data lookup system comprises a processing result receiving module, a monitoring center computer display module, a data real-time updating module and a page turning lookup module, and a container scheduling framework comprises a task pool, a scheduler, a resource pool, a physical host and a container pool, the input end of the task pool is connected with the output end of the scheduler, the input end of the scheduler is connected with the output end of a substation operation data sending module, the output end of the container pool is connected with the input end of the processing analysis module, the task pool is composed of n tasks, the resource pool is composed of n resources, and the container pool is composed of n containers, and each container contains a task and resources, can realize through the container scheduling framework, come to run and maintain a plurality of containers at a small expense simultaneously, relative to the virtual machine, the advantage is the batched establishment and destruction container of the millisecond level, it is "noninductive" to the system, have the ability to adjust the establishment opportunity and the fine-grained tactics autonomously under the established conditions, thus it is easy to deploy to the single machine or small-scale cluster server, reduce the dependence on the hardware configuration, replace the past business classification and then bind to the particular host computer way by force, establish the foundation for the polymorphic processing mode of the heterogeneous data, through the task and the successful match of the resources, determine the opportunity of the master station processing the recording information, avoid the overload risk that the extreme situation may form to the master station, the container mechanism ensures the desensitization of the master drilling system to the recording information, the fine-grained task is in order to the competition of the physical host computer resources, the stability and the reliability of the system are improved to a great extent, and the information processed by the container frame is displayed on the monitoring computer, so that the checking of workers is facilitated, the intelligent monitoring effect is achieved, and the operation of the transformer substation is maintained conveniently.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
fig. 2 is a schematic block diagram of the structure of the substation monitoring data reference system of the present invention.
In the figure, 1, a transformer substation operation data sending module, 2 a processing analysis module, 3 a processing output module, 4 a transformer substation monitoring data consulting system, 41 a processing result receiving module, 42 a monitoring center computer display module, 43 a data real-time updating module, 44 a page turning consulting module, 5 a container scheduling frame, 51 a task pool, 52 a scheduler, 53 a resource pool, 54 a physical host and 55 a container pool.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, an embodiment of the present invention provides a technical solution: an intelligent substation operation and maintenance information monitoring system based on a container scheduling architecture comprises a substation operation data sending module 1, a container scheduling framework 5, a processing and analyzing module 2 and a processing and outputting module 3, wherein the output end of the processing and outputting module 3 is connected with the input end of a substation monitoring data consulting system 4, the input end of the processing and outputting module 3 is connected with the output end of the processing and analyzing module 2, logic functions are tasked, a master station service is subjected to thread-level disassembly, fine-grained formation is carried out to kernel-state subtasks such as communication, filtering, operation, vision, mirror image, circulation, synchronization and the like, execution conditions and required resources are calculated for the subtasks, the tasks are randomly scattered and sorted and are put into a task pool 51, the substation monitoring data consulting system 4 comprises a processing result receiving module 41, a monitoring center computer display module 42, a data real-time updating module 43 and a page turning consulting module 44, the output end of the processing result receiving module 41 is connected with the input end of the monitoring center computer display module 42, the output end of the monitoring center computer display module 42 is connected with the input end of the data real-time updating module 43, the output end of the data real-time updating module 43 is connected with the input end of the page turning look-up module 44, the host configuration is changed into resources, the processing capacity of the physical host 54 is digitally recorded and changed into resources, the resource status such as idle, in-use (mirror image), reusable (shared) and the like is reflected in real time, the resource index reflects the maximum processing potential of the system, the container scheduling framework 5 comprises a task pool 51, a scheduler 52, a resource pool 53, a physical host 54 and a container pool 55, the input end of the task pool 51 is connected with the output end of the scheduler 52, the output end of the task pool 51 is connected with the input end of the container pool 55, and the output end of the scheduler 52 is connected with the input end of the resource pool 53, the scheduler 52 is in bidirectional connection with the container pool 55, the input end of the container pool 55 is connected with the output end of the resource pool 53, the output end of the physical host 54 is connected with the input end of the resource pool 53, the input end of the scheduler 52 is connected with the output end of the substation operation data sending module 1, the output end of the container pool 55 is connected with the input end of the processing and analyzing module 2, the task pool 51 is composed of n tasks, the resource pool 53 is composed of n resources, the container pool 55 is composed of n containers, each container internally contains one task and resource, the algorithm strategy is containerized, the containers are characterized in that the containers are firstly unrelated to physical conditions, have strong environmental adaptability, secondly have isolated autonomous operation states, adopt a lock-free optimistic concurrency mechanism among the containers, have outstanding concurrent processing performance, the containerized scheduler 52 has an algorithm strategy driving mechanism, ensures that the system can select the object in the task pool 51 according to the requirement, match the task and the resource in a pre-judging or even intervening way, if the matching is successful, the scheduler immediately creates a container, the container executes the task, if the matching is unsuccessful, the scheduler continues to wait until the host resource meets the matching condition, therefore, the risk of down-time of executing tasks caused by insufficient resources is eliminated, the container scheduling architecture 5 extends the functions of the scheduler 52, the classification of the recording master station traffic has no host selectivity any more, but is fine-grained and tasked according to the logic organization, the states of the managed physical host 54 are uniformly and digitally quantized and recycled to form a global task pool 51 and a resource pool 53, the tasks and the resources are dynamically matched to form a series of containers, the results are submitted to the processing and analyzing module 2 after the containers are executed, and the resources are released to the scheduler 52. The scheduler 52 deducts the value of the resource occupied by each container, increases the value of the resource released by the container, updates the resource state data according to the creation and destruction of the container after submitting new service and submitting processing analysis each time, grasps the system processing capability at any time, and the container scheduling architecture 5 excavates the processing potential and the execution efficiency of the master station physical host 54 to the maximum extent, carries out personalized deconstruction aiming at the requirement characteristics on the service to be processed, and the containers are independently layered and matched in a grading manner according to scenes, so that when all subtasks contained in the service are matched into containers, the processing is finished.
When in use, the master station information processing service sent by the transformer substation operation data sending module 1 is firstly subjected to fine-grained processing, then is decomposed into a series of subtasks, enters a task pool 51, then the states of a CPU, a thread, a memory, an IO and the like in a physical host 54 are digitally marked and then are subjected to virtual resource utilization, and enters a resource pool 53, the task pool 51 and the resource pool 53 are maintained and controlled by a scheduler 52, the scheduler 52 dynamically calculates and matches a group of available resources according to the requirement of each subtask, and simultaneously creates a lightweight container with an independent operation space for the submission, the containers are stored in a container pool 55, the container duration ensures the uniqueness and the exclusivity of the resources in the space and the subtasks, the resources are released after the subtasks are ended, the containers are destroyed, the task session processing is carried out on the components in the intelligent power station, and then the matching detection is carried out on different tasks through different containers, then, the data is transmitted to the processing and analyzing module 2 for data processing, and then the processed data is transmitted to the transformer substation monitoring data reference system 4 through the processing and output module 3, after a processing result is received by a processing result receiving module 41 in the transformer substation monitoring data reference system 4, the processed data is displayed through a monitoring center computer display module 42, meanwhile, the received data information is refreshed and displayed in real time through a data real-time updating module 43, and people can query the operation and maintenance information of the intelligent transformer substation based on the container scheduling framework through page turning reference module 44, so that the whole working process of the operation and maintenance information monitoring system of the intelligent transformer substation based on the container scheduling framework is completed.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. The utility model provides an intelligent substation operation and maintenance information monitoring system based on container scheduling framework, includes transformer substation operation data transmission module (1), container scheduling frame (5), processing analysis module (2) and processing output module (3), its characterized in that: the output end of the processing output module (3) is connected with the input end of a substation monitoring data lookup system (4), the input end of the processing output module (3) is connected with the output end of the processing analysis module (2), the substation monitoring data lookup system (4) comprises a processing result receiving module (41), a monitoring center computer display module (42), a data real-time updating module (43) and a page turning lookup module (44), the output end of the processing result receiving module (41) is connected with the input end of the monitoring center computer display module (42), the output end of the monitoring center computer display module (42) is connected with the input end of the data real-time updating module (43), and the output end of the data real-time updating module (43) is connected with the input end of the page turning lookup module (44);
the container scheduling framework (5) comprises a task pool (51), a scheduler (52), a resource pool (53), a physical host (54) and a container pool (55), wherein the input end of the task pool (51) is connected with the output end of the scheduler (52);
the task pool (51) is composed of n tasks, and the resource pool (53) is composed of n resources; the container pool (55) is composed of n containers, and each container contains a task and a resource inside;
a lock-free optimistic concurrency mechanism is adopted among all containers, a containerized scheduler (52) has an algorithm strategy driving mechanism, so that the system can select objects in a task pool (51) as required, match tasks and resources in a prejudgment and even intervention mode, if the matching is successful, the scheduler (52) immediately creates the containers, the containers execute the tasks, and if the matching is unsuccessful, the scheduler (52) continues to wait until the host resources meet the matching conditions;
in the using process, after the main station information processing service sent by the transformer substation operation data sending module (1) is subjected to fine-grained processing, the main station information processing service is decomposed into a series of subtasks, the subtasks enter a task pool (51), a CPU, a thread, a memory and IO in a physical host (54) are digitally marked and then are subjected to virtual resource utilization, the main station information processing service enters a resource pool (53), the task pool (51) and the resource pool (53) are maintained and controlled by a scheduler (52), the scheduler (52) dynamically calculates and matches a group of available resources according to the requirement of each subtask, and simultaneously creates a lightweight container with an independent operation space for the request, the containers are stored in a container pool (55), the container storage period ensures the uniqueness and exclusivity of the resources of the space and the subtasks, the resources are released when the subtasks are ended, and the container achieves the task processing of members destroyed by an intelligent power station, then, matching detection is carried out on different tasks through different containers, the matching detection is carried out on the tasks, the tasks are transmitted to a processing and analyzing module (2) for data processing, the processing and outputting module (3) is used for sending the processing results to a transformer substation monitoring data consulting system (4), a processing result receiving module (41) in the transformer substation monitoring data consulting system (4) receives the processing results, the processing results are displayed through a monitoring center computer display module (42), meanwhile, the received data information is refreshed and displayed in real time through a data real-time updating module (43), and page turning inquiry is carried out through a page turning consulting module (44).
2. The intelligent substation operation and maintenance information monitoring system based on the container scheduling architecture according to claim 1, wherein: the output of the task pool (51) is connected to the input of a container pool (55) and the output of the scheduler (52) is connected to the input of a resource pool (53).
3. The intelligent substation operation and maintenance information monitoring system based on the container scheduling architecture according to claim 1, wherein: the scheduler (52) is connected with the container pool (55) in a bidirectional mode, and the input end of the container pool (55) is connected with the output end of the resource pool (53).
4. The intelligent substation operation and maintenance information monitoring system based on the container scheduling architecture according to claim 1, wherein: the output end of the physical host (54) is connected with the input end of the resource pool (53).
5. The intelligent substation operation and maintenance information monitoring system based on the container scheduling architecture according to claim 1, wherein: the input end of the scheduler (52) is connected with the output end of the transformer substation operation data sending module (1), and the output end of the container pool (55) is connected with the input end of the processing and analyzing module (2).
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| CN110418403B (en) * | 2019-07-24 | 2021-07-02 | 云南电网有限责任公司红河供电局 | 35kV transformer substation data recording system and method based on wireless network |
| CN110569109B (en) * | 2019-09-11 | 2022-05-31 | 广州虎牙科技有限公司 | Container updating method, control node and edge node |
| CN113467908B (en) * | 2021-06-23 | 2024-02-20 | 深圳市蘑菇财富技术有限公司 | Task execution method, device, computer readable storage medium and terminal equipment |
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