CN115344272A - Containerized deployment monitoring system and containerized deployment method thereof - Google Patents
Containerized deployment monitoring system and containerized deployment method thereof Download PDFInfo
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- CN115344272A CN115344272A CN202210995932.9A CN202210995932A CN115344272A CN 115344272 A CN115344272 A CN 115344272A CN 202210995932 A CN202210995932 A CN 202210995932A CN 115344272 A CN115344272 A CN 115344272A
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- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
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Abstract
A containerized deployment monitoring system and a containerized deployment method thereof are disclosed. The monitoring system for containerization deployment comprises a data deployment layer and an application deployment layer; the data deployment layer is configured to deploy each professional data logic unit and data service in a one-to-one corresponding manner in a plurality of first containers; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty; the application deployment layer is configured to deploy the application service of each service in a one-to-one corresponding manner in a plurality of second containers; the application service is used for carrying out business processing on professional measuring point data related to business. The technical scheme provides flexibility and convenience for updating data and services, and reduces the influence of local updating on the whole monitoring system.
Description
Technical Field
The embodiment of the application relates to the field of subway monitoring, in particular to a containerized deployment monitoring system and a containerized deployment method thereof.
Background
The subway comprehensive monitoring system is divided into 3-layer structures of a data acquisition layer, a data processing layer and a service presentation layer from the aspect of system architecture, and the physical devices respectively corresponding to the data acquisition layer, the data processing layer and the service presentation layer are a communication front-end processor, a real-time server and an operation station. From the deployment mode, the subway comprehensive monitoring system is divided into a central-level subsystem deployment structure and a station-level subsystem deployment structure.
As shown in fig. 1-a, a real-time server and an operation station are deployed on a central-level subsystem (control center), the real-time server runs a real-time service program, the central-level real-time server obtains station data from the station-level real-time server, and the operation station is responsible for implementing a data presentation layer. As shown in fig. 1-b, a communication front-end processor, a real-time server and an operation station are deployed on the station level subsystem. The communication front-end processor is responsible for data acquisition. The real-time server is responsible for realizing the data processing layer and acquires data from the communication front-end processor. The operation station is responsible for data presentation layer implementation.
Based on the idea of software generalization, the real-time server deploys corresponding configuration data in addition to a real-time service software program (implementing data processing logic), and the real-time service software program implements system functions in combination with the configuration data.
The software configuration data on the real-time server is all professional measuring point configuration data, and the measuring point configuration data can dynamically change according to actual engineering requirements in the engineering implementation process. If a power switch a is added in the power supply system, a measuring point for identifying the switching state of the power switch a needs to be added in measuring point configuration data of a power supply specialty. At this time, configuration data of the measurement points which are added with the identification power switch a in the on-off state needs to be updated to the on-site real-time server by updating the measurement point data model on the real-time server, so that system function updating is realized. Because all the measurement point configuration data are intensively deployed on one real-time server, even if other specialties (such as electromechanical and communication specialties) do not need to update data, the data need to be updated passively, so that necessary test confirmation and influence analysis need to be performed by related specialties, and the data updating influence range is wide.
In addition, all data processing logics are processed by a real-time service software program, one logic function (such as linkage) needs to be updated, the real-time service software program needs to be updated integrally, and even if other logic functions (such as alarm statistics) are not changed, the logic processing program needs to be updated passively, so that necessary test confirmation and influence analysis need to be carried out by related professionals, and the program updating influence range is wide.
Disclosure of Invention
The embodiment of the application provides a containerized deployment monitoring system, which comprises a data deployment layer and an application deployment layer;
the data deployment layer is configured to deploy each professional data logic unit and data service in a one-to-one corresponding manner in a plurality of first containers; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty;
the application deployment layer is configured to deploy the application service of each service in a one-to-one corresponding manner in a plurality of second containers; the application service is used for carrying out business processing on professional measuring point data related to business.
The embodiment of the application provides a containerization deployment method of a containerization deployment monitoring system, which comprises the following steps:
deploying each professional data logic unit and data service in a plurality of first containers of a data deployment layer in a one-to-one corresponding mode; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty;
deploying the application service of each service in a one-to-one corresponding mode in a plurality of second containers of the application deployment layer; the application service is used for carrying out business processing on professional measuring point data related to business.
According to the containerized deployment monitoring system and the containerized deployment method thereof, data isolation of different professional types and application isolation of different service types are realized through containerization, flexibility and convenience are provided for updating of data and services, and the influence of local updating on the whole monitoring system is reduced.
Other aspects will be apparent upon reading and understanding the attached drawings and detailed description.
Drawings
The accompanying drawings are included to provide an understanding of the present disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the examples serve to explain the principles of the disclosure and not to limit the disclosure.
FIG. 1-a is a schematic structural diagram of a control center in a comprehensive monitoring system for a subway in the prior art;
FIG. 1-b is a schematic structural diagram of a station subsystem in a comprehensive monitoring system for a subway in the prior art;
FIG. 2 is a schematic structural diagram of a containerized deployment monitoring system according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a monitoring system for containerization deployment of a control center according to an embodiment of the present disclosure;
fig. 4 is a flowchart of a containerization deployment method of a monitoring system for containerization deployment according to an embodiment of the present application.
Detailed Description
The present application describes embodiments, but the description is illustrative rather than limiting and it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Any feature or element of any embodiment may be used in combination with or instead of any other feature or element in any other embodiment, unless expressly limited otherwise.
This application includes and contemplates combinations of features known to those of ordinary skill in the art. The embodiments, features, etc. that have been disclosed in this application can also be combined with any conventional features to form unique inventive aspects as defined by the appended claims. Any feature of any embodiment may also be combined with features from other inventive aspects to form yet another unique inventive aspect, as defined by the appended claims. Thus, it should be understood that any of the features shown and/or discussed in this application may be implemented alone or in any suitable combination. Accordingly, the embodiments are not to be restricted except in light of the attached claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.
Further, in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other orders of steps are possible as will be understood by those of ordinary skill in the art. Accordingly, the particular order of the steps set forth in the specification should not be construed as limitations on the claims appended hereto. Further, the claims directed to the method and/or process should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the embodiments of the present application.
As shown in fig. 2, an embodiment of the present application provides a monitoring system for containerized deployment, which includes a data deployment layer 10 and an application deployment layer 20;
the data deployment layer is configured to deploy each professional data logic unit and data service in a one-to-one correspondence manner in a plurality of first containers; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty;
the application deployment layer is configured to deploy the application service of each service in a one-to-one corresponding manner in a plurality of second containers; the application service is used for carrying out business processing on professional measuring point data related to business.
The monitoring system for containerized deployment provided by the embodiment of the application comprises a data deployment layer and an application deployment layer, wherein the data deployment layer is configured to deploy each professional data logic unit and data service in a one-to-one corresponding manner in a plurality of first containers; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty; the application deployment layer is configured to deploy the application service of each service in a one-to-one corresponding manner in a plurality of second containers; the application service is used for carrying out business processing on professional measuring point data related to business. The containerized deployed monitoring system realizes data isolation of different professional types and application isolation of different service types through containerization, provides flexibility and convenience for updating data and services, and reduces the influence of local updating on the whole monitoring system.
In some exemplary embodiments, the logical unit of data has a unique identification.
In some exemplary embodiments, the identification of the data logical unit includes a station identification portion and a specialty identification portion. For example, the identifier of the data logic unit includes 4 numbers, where the first 2 numbers represent station serial numbers and the second 2 numbers represent professional serial numbers. The identification of the data logical units can provide station information and professional information to help quickly locate the data logical units.
In some exemplary embodiments, the specialties include: electromechanical, power supply, communication, vehicle, traveling, etc.
In some exemplary embodiments, the application comprises: linkage, sequential control, alarm statistics, video monitoring, vehicle information statistics, and the like.
In some exemplary embodiments, the containerized deployment monitoring system is provided on a server of a station and/or a server of a control center.
In some exemplary embodiments, as shown in fig. 3, when the containerized deployed monitoring system is disposed on a server of a control center, any one of the specialized data logic units and data services includes at least one of the data logic units and data services of a station, and one of the specialized data logic units and data services of one station is deployed in one of the first containers.
In some exemplary embodiments, the monitoring system for containerization deployment manages the first container and the second container via a cloud platform.
In some exemplary embodiments, the access service provided by the data service includes a data read-write service.
In some exemplary embodiments, when the containerized deployed monitoring system is disposed on a server of a station, if measurement point configuration data of a certain specialty of the station needs to be updated, the data deployment layer of the monitoring system of the station is further configured to update a data logic unit corresponding to the specialty.
In some exemplary embodiments, when the containerized monitoring system is disposed on a server of a control center, if measurement point configuration data of a specialty of a certain station needs to be updated, a data deployment layer of the monitoring system of the control center is further configured to update a data logic unit corresponding to the specialty of the station.
In some exemplary embodiments, when the containerized deployed monitoring system is set on a server of a station, if a certain service needs to be updated, the application deployment layer of the monitoring system of the station is further configured to update an application service corresponding to the service.
In some exemplary embodiments, when the containerized deployed monitoring system is set on a server of a control center, if a certain service needs to be updated, the application deployment layer of the monitoring system of the control center is further configured to update an application service corresponding to the service.
The monitoring system for containerized deployment provided by the embodiment of the application adopts a container technology to perform logical partitioning and isolation of hardware resources, and provides a running environment foundation for data fragmentation. Measuring point configuration data fragmentation is carried out based on the profession, and measuring point configuration data which are intensively deployed in the related technology are split into independent data logic units according to the profession dimension. Each specialized data logic unit is deployed in a container. The application services are planned according to business functions, each application service is deployed in a container, and an application service layer and a data service layer are isolated through a container technology, so that separation of a data processing logic unit and a data logic unit is realized. When a single professional data is updated, only the data logic unit of the professional needs to be updated, and other professional data logic units are not affected. And a single professional can independently carry out field construction, so that the system maintenance efficiency is improved, and the debugging cost is reduced. When the processing logic of a single service needs to be updated, only the application service of the service needs to be updated, and the application services of other services are not affected. The application service of a single service can be independently updated on site, the system maintenance efficiency is improved, and the debugging cost is reduced.
As shown in fig. 4, an embodiment of the present disclosure provides a containerization deployment method for a containerized deployed monitoring system, including:
step S10, deploying each professional data logic unit and data service in a plurality of first containers of a data deployment layer in a one-to-one corresponding mode; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty;
step S20, deploying the application service of each service in a one-to-one corresponding mode in a plurality of second containers of the application deployment layer; the application service is used for carrying out business processing on professional measuring point data related to business.
According to the containerization deployment method of the containerization deployment monitoring system, professional data logic units and data services are deployed in a plurality of first containers of a data deployment layer in a one-to-one corresponding mode; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty; deploying the application service of each service in a one-to-one corresponding mode in a plurality of second containers of the application deployment layer; the application service is used for carrying out business processing on professional measuring point data related to business. The containerization deployment method realizes the data isolation of different professional types and the application isolation of different service types through containerization, provides flexibility and convenience for the updating of data and service, and reduces the influence of local updating on the whole monitoring system.
In some exemplary embodiments, the logical unit of data has a unique identification.
In some exemplary embodiments, the identification of the data logical unit includes a station identification portion and a specialty identification portion.
In some exemplary embodiments, the specialties include: electromechanical, power supply, communication, vehicle, traveling, etc.
In some exemplary embodiments, the application comprises: linkage, sequential control, alarm statistics, video monitoring, vehicle information statistics, and the like.
In some exemplary embodiments, the containerized deployment monitoring system is provided on a server of a station and/or a server of a control center.
In some exemplary embodiments, when the containerized deployed monitoring system is disposed on a server of a control center, any one of the specialized data logic units and data services includes at least one of the data logic units and data services of a station, and one of the specialized data logic units and data services of one station is deployed in one of the first containers.
In some exemplary embodiments, the access service provided by the data service includes a data read-write service.
In some exemplary embodiments, when the containerized deployment monitoring system is disposed on a server of a station, the containerized deployment method further includes: and if the measuring point configuration data of a certain specialty of the station needs to be updated, updating the data logic unit corresponding to the specialty.
In some exemplary embodiments, when the monitoring system of the containerized deployment is disposed on a server of a control center, the containerized deployment method further includes: and if the measuring point configuration data of a certain specialty of a certain station needs to be updated, updating the data logic unit corresponding to the specialty of the station.
In some exemplary embodiments, when the containerized deployment monitoring system is disposed on a server of a station, the containerized deployment method further includes: and if a certain service needs to be updated, updating the application service corresponding to the service.
In some exemplary embodiments, when the monitoring system of the containerized deployment is disposed on a server of a control center, the containerized deployment method further includes: and if a certain service needs to be updated, updating the application service corresponding to the service.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as is well known to those skilled in the art.
Claims (10)
1. A monitoring system for containerized deployment comprises a data deployment layer and an application deployment layer;
the data deployment layer is configured to deploy each professional data logic unit and data service in a one-to-one correspondence manner in a plurality of first containers; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty;
the application deployment layer is configured to deploy the application service of each service in a one-to-one corresponding manner in a plurality of second containers; the application service is used for carrying out business processing on professional measuring point data related to business.
2. The monitoring system of claim 1, wherein:
the data logic unit has a unique identifier;
the identification of the data logic unit comprises a station identification part and a professional identification part.
3. The monitoring system of claim 1, wherein:
the monitoring system for containerization deployment is arranged on a server of a station and/or a server of a control center.
4. A monitoring system according to claim 3, wherein:
when the containerized deployed monitoring system is arranged on a server of a control center, any one professional data logic unit and data service comprises the data logic unit and the data service of at least one station, and one professional data logic unit and data service of one station are deployed in one first container.
5. A monitoring system according to claim 3, wherein:
when the containerized deployed monitoring system is arranged on a server of a station, if the configuration data of a measuring point of a certain specialty of the station needs to be updated, the data deployment layer of the monitoring system of the station is also configured to update the data logic unit corresponding to the specialty; and if a certain service needs to be updated, the application deployment layer of the monitoring system of the station is also configured to update the application service corresponding to the service.
6. A monitoring system according to claim 3, wherein:
when the containerized deployed monitoring system is arranged on a server of a control center, if the configuration data of a professional measuring point of a certain station needs to be updated, the data deployment layer of the monitoring system of the control center is also configured to update a data logic unit corresponding to the specialty of the station; and if a certain service needs to be updated, the application deployment layer of the monitoring system of the control center is also configured to update the application service corresponding to the service.
7. A containerization deployment method of a containerization deployed monitoring system comprises the following steps:
deploying each professional data logic unit and data service in a plurality of first containers of a data deployment layer in a one-to-one corresponding mode; the data logic unit is used for configuring measuring point data corresponding to a specialty, and the data service is used for providing access service of the data logic unit corresponding to the specialty;
deploying the application service of each service in a one-to-one corresponding mode in a plurality of second containers of the application deployment layer; the application service is used for carrying out business processing on professional measuring point data related to business.
8. The method of claim 7, wherein:
the monitoring system for containerization deployment is arranged on a server of a station and/or a server of a control center.
9. The method of claim 8, wherein:
when the monitoring system for containerized deployment is arranged on a server of a station, the containerized deployment method further comprises the following steps:
if the measuring point configuration data of a certain specialty of the station needs to be updated, updating the data logic unit corresponding to the specialty;
and if a certain service needs to be updated, updating the application service corresponding to the service.
10. The method of claim 8, wherein:
when the monitoring system of the containerized deployment is arranged on a server of a control center, the containerized deployment method further comprises the following steps:
if the measuring point configuration data of a certain specialty of a certain station needs to be updated, updating the data logic unit corresponding to the specialty of the station;
and if a certain service needs to be updated, updating the application service corresponding to the service.
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| CN202210995932.9A CN115344272A (en) | 2022-08-18 | 2022-08-18 | Containerized deployment monitoring system and containerized deployment method thereof |
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| CN202210995932.9A CN115344272A (en) | 2022-08-18 | 2022-08-18 | Containerized deployment monitoring system and containerized deployment method thereof |
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