CN114489693A - Comprehensive transformer state monitoring system based on edge application - Google Patents
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Abstract
The invention belongs to the technical field of power monitoring, and particularly relates to a comprehensive transformer state monitoring system based on edge application. The sensor and the collector are communicated with the App through an MQTT protocol, and then the comprehensive monitoring platform at the access station end is realized. The App replaces an IED or a server which needs to be deployed by an original sensor monitoring manufacturer, so that light weight and unification are realized, and access of any monitoring sensing equipment is realized. And by the edge calculation of the App on the station-side comprehensive monitoring platform, the monitoring data volume which can be accessed by the background is enhanced, the access of any monitoring sensing equipment is realized, and the variety and the quantity are rich.
Description
Technical Field
The invention belongs to the technical field of power monitoring, and particularly relates to a comprehensive transformer state monitoring system based on edge application.
Background
Whether the operation of the transformer is stable and reliable directly determines the overall service quality of the power system. Therefore, for the abnormal monitoring and management and maintenance of the transformer, the method is one of the core contents of the daily operation and maintenance work of the power grid. In a large-scale high-voltage electrical equipment transformer, due to the multipoint earth fault of an iron core and other abnormal conditions, a plurality of gases are generated in insulating oil, and a common detection means is to detect fault gases dissolved in the insulating oil, perform gas chromatographic analysis, or measure the current of an earth lead of an earth bushing externally led out of the iron core of the transformer so as to find latent faults as soon as possible, and is a main means for ensuring the safe operation and normal maintenance of a large-scale power transformer. By monitoring the grounding current of the iron core, hidden dangers such as multipoint grounding of the iron core can be found in time, so that a series of faults caused by the formation of a suspension potential and local overheating of the iron core are prevented, the faults are prevented from happening in the future, and the faults are eliminated in a sprouting state.
The transformer is used as a core device of a primary power transformation system, the operation stability of the transformer is directly related to reliable power supply of a power grid, and the transformer is a daily required object of power operation and maintenance personnel. The monitoring technology of the transformer that is used widely in the industry at present has a lot of, measure such as dissolved gas monitoring in including oil, ultrahigh frequency partial discharge monitoring, ultrasonic wave partial discharge monitoring, contain power frequency parameter monitoring, humiture monitoring, electromagnetic wave monitoring, acoustics class monitoring, vibration frequency spectrum class monitoring, infrared/ultraviolet class monitoring, gas composition, disciplines and fields such as mechanics, but all kinds of monitoring devices operate independently, utilize the monitoring means who develops single principle separately, cause erroneous judgement or erroneous judgement easily, can't provide reliable foundation for the state maintenance of transformer.
In view of the limitation of the independent monitoring system in monitoring, the monitoring of the state of the multi-parameter transformer is regarded as the industry continuously from two years ago. The device and the method for monitoring the intelligent state of the main transformer based on multi-source data begin to appear in the industry, namely, various types of online monitoring are realized by utilizing different technical subjects and monitoring principles, and the accuracy of state judgment of the transformer is improved through joint analysis and comprehensive evaluation.
The state monitoring of the multi-parameter transformer can monitor the running state of the transformer more comprehensively, but a unified consensus is not formed for the monitoring methods used, so that partial solutions in the industry try to monitor more comprehensively through simple accumulation of the monitoring methods in quantity, but a new problem is brought. Such as partial discharge monitoring, vibration monitoring, etc., the sensor and the collector upload original sampling data, and meanwhile, in order to realize the calculation and judgment of abnormality, early warning, and alarm, a sensor monitoring manufacturer needs to deploy an IED or a server for deploying algorithms and control. The algorithm of sampling data and the control of the collector are core technologies of a sensor monitoring manufacturer, and cannot be deployed on a station-side comprehensive monitoring platform, namely, each monitoring sensor is added, one IED or server needs to be added, so that the cost of monitoring equipment, the occupied area and the workload of maintenance equipment are increased, more monitoring equipment can be accessed for monitoring the state of a multi-parameter transformer, and adverse effects are brought to the station-side comprehensive monitoring platform.
Disclosure of Invention
In order to solve the technical problem, the invention discloses a transformer comprehensive state monitoring system based on edge application, which comprises the following steps:
the general scheme of the invention is that a Docker container is deployed in an operating system of a station-side comprehensive monitoring platform, and a sensor monitoring manufacturer packs App of the Docker container into a Docker mirror image and uploads the Docker mirror image to the station-side comprehensive monitoring platform. The sensor and the collector are communicated with the App through an MQTT protocol, and then the comprehensive monitoring platform at the access station end is realized. The App replaces an IED or a server which needs to be deployed by an original sensor monitoring manufacturer, so that light weight and unification are realized, and the access of any monitoring sensing equipment is realized.
The Docker container deployed by the station-side integrated monitoring platform operating system is an open-source application container engine, so that developers can pack their application apps into a portable mirror image and then release the apps to any popular Linux or Windows operating system, and virtualization can be realized. Docker is a fully used sandbox mechanism without any interfaces between each other. Because the Docker is based on the characteristic of lightweight virtualization, the Docker has the most obvious characteristics of quick start and small resource occupation, and is particularly suitable for constructing an isolated standardized operation environment, an automatic test and continuous integration environment and all applications capable of being transversely expanded. The App application has a perfect man-machine interaction function and can completely display information such as configuration, data, charts, messages and the like; the method has the advantages that the function of outputting intermediate process data is required, and when problems occur, the problems can be traced through the intermediate data; the method has a logic block diagram visualization function, and visualized contents need to be complete and correct; the method is characterized in that storage resources such as hard disk data and the like are managed by self, a circulating covering and clearing strategy is provided, and corresponding processing can be carried out after the specified hard disk resources are full, so that new data cannot be stored; providing a complete audit data record, storing the data for at least 1 year, inquiring and looking up according to multi-dimensional conditions such as time, equipment, operation contents and the like, and exporting the data as a file; the method has a dynamic configuration function, and the configuration is automatically effective after being modified without restarting; the system has a perfect report function, including daily, monthly and annual reports, and can be exported to a file; the method has perfect version management functions including software upgrading, backup and recovery, version difference explanation and the like.
In order to realize that any monitoring sensing equipment can be accessed to the station-side comprehensive monitoring platform, the development of App needs to be uniformly managed. The method comprises the following steps that when an App completes service function development and is packaged, the App meets the following requirements, namely, the App is packaged into a Docker mirror image to ensure that a Docker version can drive the mirror image to run and submits the Docker version to a station-side comprehensive monitoring platform for on-line auditing; secondly, after the App is packaged into a docker mirror image, specific version information is determined according to actual conditions, such as 'V1.0.0', after the docker is imported into the mirror image, mirror image entities of different versions of different Apps can be uniquely determined through names and version numbers, and latist and the like are not suggested to be used as version names; thirdly, when the App uploads to the comprehensive monitoring platform of the station side, the docker image file and the systemctl are packaged into a recognizable service file; fourthly, the size of the mirror image file is reduced by adopting a layered packaging mode, and the transmission reliability is ensured. The method comprises the following steps that App development on a station side comprehensive monitoring platform side needs to meet the following basic requirements, wherein on one hand, App naming needs to ensure uniqueness, the uniform naming format is (service function) - (service type) - (manufacturer), and only numbers, letters, underlines and short transverse lines are allowed to be used; secondly, the working of App is consistent with the storage directory, and/mnt/{ APPNAME } is uniformly set; thirdly, an App log storage path is set to be/mnt/{ AppName }/{ AppName } _ log/. d); fourthly, the storage path of the App configuration file is set to be/mnt/{ AppName }/{ AppName } _ conf; fifthly, the mirror name should be uniformly set as { AppName }. tar, and the service file name should be { APPNAme }. service; and sixthly, the App version number is the same as the version number of the docker image and the version number registered when the docker image is online to the comprehensive monitoring platform at the station end, the versions are uniformly changed in an V1.0.0 form, such as the upgraded version, the version number is correspondingly changed, the registered versions of the docker image version, the App version and the comprehensive monitoring platform at the station end are consistent, and the service file modifies the corresponding App version number. The App installation mode supports two modes of local installation and cloud issuing installation. Installation and deployment of the App require mirror image acquisition, and management, maintenance and the like of the App mirror image are all based on a systemmctl program of the system, so developers should write and submit service files simultaneously when submitting the App. The typical configuration and field requirements of the service file should meet the following requirements, wherein one of the requirements is to give the resource allocation proportion of the program; secondly, the self-starting of the machine is required to be clear; thirdly, a persistent directory which is required to be explicitly mounted is required to be provided by the edge computing framework; fourthly, the name of the container, the network used (the host network is used uniformly) and the open port are clarified.
In addition to the definition requirement for unified management of App development, the requirement for clear management of App storage is also met, and the storage of the App at the side of the station-side comprehensive monitoring platform meets the following basic requirements, namely, an App working directory and a storage position are used as persistent storage for storing logs, configuration files and the like; secondly, the catalog of the App log is/mnt/{ AppNAME }/{ ApNAME } _ log/, the log of the App should store 5 log files at most by using a rolling mode, the size of each log file is limited to 5M, the name of the latest log file is { APPNAME } _ log, and the App log is called and read in remote debugging. (for some important apps, the upper limit of the log size can be flexibly set according to the self-demand and the side equipment resource condition); thirdly, setting the storage path of the App configuration file to be/mnt/{ AppName }/{ AppName } _ conf; fourthly, the App preferably adopts a static compiling method, and all the dependencies are input into the App, so that the App is ensured not to depend on the basic mirror image, the size of the App mirror image is reduced, and the occupation ratio of the bandwidth and the disk space is reduced; fifthly, updating upgrading of the App can delete the original mirror image and the original container, and the App determines whether the legacy data in the mounting catalog is reserved or not. The App can meet the following requirements in operation-firstly, deployment of the App can be managed by using a docker container in a unified way; secondly, each App only has one instance to run on the side of the comprehensive monitoring platform at the station end; thirdly, the control of the App is managed by uniformly adopting service files which can be identified based on the system ctl, and the control of the App such as starting, stopping and the like is managed; and fourthly, the use of resources such as a CPU, a memory, storage and the like during operation is strictly limited, the total occupancy rate of the CPU is not more than 90 percent of the total resources, and the application is forced to stop operating under the condition that the total occupancy rate of the CPU exceeds the set resources.
The invention has the beneficial effects that: the invention adopts a standardized MQTT communication protocol for the upper communication of the edge computing equipment pair, and is irrelevant to the monitoring equipment of the monitoring manufacturer. And by the edge calculation of the App on the station-side comprehensive monitoring platform, the monitoring data volume which can be accessed by the background is enhanced, the access of any monitoring sensing equipment is realized, and the variety and the quantity are rich.
For the transformer station end comprehensive monitoring platform, each sensing monitoring manufacturer can realize the core function and algorithm of the transformer station end comprehensive monitoring platform through the packaged App by a standardized operation method, so that the expansibility of the comprehensive monitoring system is improved. The transformer station end comprehensive monitoring is not an independent device any more, and is formed into a platform and a set of system, so that a sensing monitoring manufacturer and a comprehensive monitoring system manufacturer can clearly divide labor and take the best of each other and are adaptive to each other. The transformer comprehensive monitoring system can be connected to sensing monitoring of any manufacturer, any technology and any subject, and can truly play a comprehensive sensing function.
Drawings
Fig. 1 is a schematic structural view of the present invention.
FIG. 2 is a schematic diagram of a Docker environment deployed in an operating system according to the present invention.
Detailed Description
For the purpose of enhancing the understanding of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and examples, which are provided for the purpose of illustration only and are not intended to limit the scope of the present invention.
Example (b): as shown in fig. 1 and 2, in the transformer comprehensive state monitoring system based on the edge application, a Docker environment is deployed in an operating system, the Docker can carry a third-party application App, and various types of sensors access data to the App to realize data access.
In this embodiment, a Docker container is deployed in an operating system of a station-side integrated monitoring platform, and a sensor monitoring manufacturer packages an App of the Docker container into a Docker image and uploads the Docker image to the station-side integrated monitoring platform. The sensor and the collector are communicated with the App through an MQTT protocol, and then the comprehensive monitoring platform at the access station end is realized. The App replaces an IED or a server which needs to be deployed by an original sensor monitoring manufacturer, so that light weight and unification are realized, and the access of any monitoring sensing equipment is realized.
The App development on the side of the comprehensive monitoring platform at the station transfer end meets the following basic requirements: firstly, the App naming ensures uniqueness, the uniform naming format is (service function) - (service type) - (manufacturer), and only numbers, letters, underlines and short transverse lines are allowed to be used; secondly, the working of App is consistent with the storage directory, and/mnt/{ APPNAME } is uniformly set; thirdly, an App log storage path is set to be/mnt/{ AppName }/{ AppName } _ log/. d); fourthly, the storage path of the App configuration file is set to be/mnt/{ AppName }/{ AppName } _ conf; fifthly, the mirror name should be uniformly set as { AppName }. tar, and the service file name should be { APPNAme }. service; and sixthly, the App version number is the same as the version number of the docker image and the version number registered when the docker image is online to the comprehensive monitoring platform at the station end, the versions are uniformly changed in an V1.0.0 form, such as the upgraded version, the version number is correspondingly changed, the registered versions of the docker image version, the App version and the comprehensive monitoring platform at the station end are consistent, and the service file modifies the corresponding App version number.
Installation and deployment of an App, mirror image acquisition, management and maintenance of the App mirror image and the like are all based on a systemmctl program, developers should write and submit service files at the same time when submitting the App, and typical configuration and field requirements of the service files should meet the following requirements: firstly, giving a resource allocation proportion of a program; secondly, the self-starting of the starting is determined; thirdly, the mounted persistent directory is determined, and the directory is the persistent directory provided by the edge computing framework; fourthly, the name of the container, the network used (the host network is used uniformly) and the open port are clarified.
The storage of the App on the side of the station-side comprehensive monitoring platform meets the following basic requirements: firstly, an App working directory and a storage position are used as persistent storage for storing logs, configuration files and the like; secondly, the catalog of the App log is/mnt/{ App NAME } _ log/, the log of the App should use a rolling mode to store 5 log files at most, the size of each log file is limited to 5M, the name of the latest log file is { APPname } _ log, and the App log is called when remote debugging is supported; thirdly, setting the storage path of the App configuration file to be/mnt/{ AppName }/{ AppName } _ conf; fourthly, the App preferably adopts a static compiling method, and all the dependencies are input into the App, so that the App is ensured not to depend on the basic mirror image, the size of the App mirror image is reduced, and the occupation ratio of the bandwidth and the disk space is reduced; fifthly, updating upgrading of the App can delete the original mirror image and the original container, and the App determines whether the legacy data in the mounting catalog is reserved or not.
The App can meet the following requirements in operation: firstly, deployment of App should be managed by using a docker container in a unified way; secondly, each App only has one instance to run on the side of the comprehensive monitoring platform at the station end; thirdly, the control of the App is managed by uniformly adopting service files which can be identified based on the system ctl, and the control of the App such as starting, stopping and the like is managed; and fourthly, the use of resources such as a CPU, a memory, storage and the like during operation is strictly limited, the total occupancy rate of the CPU is not more than 90 percent of the total resources, and the application is forced to stop operating under the condition that the total occupancy rate of the CPU exceeds the set resources.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. The comprehensive transformer state monitoring system based on the edge application is characterized in that a Docker container is deployed in an operating system of a station-side comprehensive monitoring platform, APP programs in the Docker container are packaged into Docker images by a sensor detection manufacturer and then uploaded to the station-side comprehensive monitoring platform.
2. The system for monitoring the comprehensive state of the transformer based on the edge application according to claim 1, wherein the following steps are adopted when APP programs in the Docker container are packaged into a Docker mirror image;
step one, ensuring that a docker version can drive the mirror image to operate and submitting the mirror image to a station comprehensive monitoring platform for online examination;
step two, after the App is packaged into a docker mirror image, specific version information is determined according to actual conditions;
step three, when the App uploads to the comprehensive monitoring platform of the station side, packing the docker image file and the systemctl into identifiable service files;
and step four, reducing the size of the mirror image file by adopting a layered packaging mode, and ensuring reliable transmission.
3. The system for monitoring the overall state of the transformer based on the edge application as claimed in claim 2, wherein the development of the APP program in the Docker container meets the following basic requirements:
firstly, the App naming ensures uniqueness, the uniform naming format is (service function) - (service type) - (manufacturer), and only numbers, letters, underlines and short transverse lines are allowed to be used;
secondly, the working of App is consistent with the storage directory, and/mnt/{ APPNAME } is uniformly set;
thirdly, an App log storage path is set to be/mnt/{ AppName }/{ AppName } _ log/. d);
fourthly, the storage path of the App configuration file is set to be/mnt/{ AppName }/{ AppName } _ conf;
fifthly, the mirror name should be uniformly set as { AppName }. tar, and the service file name should be { APPNAme }. service;
and sixthly, the App version number is the same as the version number of the docker image and the version number registered when the docker image is online to the comprehensive monitoring platform at the station end, the versions are uniformly changed in an V1.0.0 form, such as the upgraded version, the version number is correspondingly changed, the registered versions of the docker image version, the App version and the comprehensive monitoring platform at the station end are consistent, and the service file modifies the corresponding App version number.
4. The system for monitoring the comprehensive state of the transformer based on the edge application as claimed in claim 3, wherein an APP program installation mode in the Docker container supports two modes of local installation and cloud issuing installation.
5. The system for monitoring the comprehensive state of the transformer based on the edge application as claimed in claim 4, wherein installation and deployment of the APP program in the Docker container require to obtain a mirror image, management and maintenance of the APP mirror image are based on a system ctl program, developers should write and submit service files at the same time when submitting App, and typical configuration and field requirements of the service files meet the following requirements:
firstly, giving a resource allocation proportion of a program;
secondly, the self-starting of the starting is determined;
thirdly, the mounted persistent directory is determined, and the directory is the persistent directory provided by the edge computing framework; fourthly, the name of the container, the network used and the open port should be clear.
6. The system for monitoring the overall state of the transformer based on the edge application as claimed in claim 5, wherein the storage of the APP program in the Docker container meets the following basic requirements:
firstly, an App working directory and a storage position are used as persistent storage for storing logs, configuration files and the like;
secondly, the catalog of the App log is/mnt/{ AppNAME }/{ ApNAME } _ log/, the log of the App should use a rolling mode to store 5 log files at most, the size of each log file is limited to 5M, the name of the latest log file is { APPName } _ log, and the App log is called and read in the process of remote debugging;
thirdly, setting the storage path of the App configuration file to be/mnt/{ AppName }/{ AppName } _ conf;
fourthly, the App preferably adopts a static compiling method, and all the dependencies are input into the App, so that the App is ensured not to depend on the basic mirror image, the size of the App mirror image is reduced, and the occupation ratio of the bandwidth and the disk space is reduced;
fifthly, updating upgrading of the App can delete the original mirror image and the original container, and the App determines whether the legacy data in the mounting catalog is reserved or not.
7. The system for monitoring the overall state of the transformer based on the edge application as claimed in claim 6, wherein the APP program in the Docker container meets the following requirements in operation:
firstly, deployment of App should be managed by using a docker container in a unified way;
secondly, each App only has one instance to run on the side of the comprehensive monitoring platform at the station end;
thirdly, the control of the App is managed by uniformly adopting service files which can be identified based on the system ctl, and the control of the App such as starting, stopping and the like is managed;
and fourthly, the use of resources such as a CPU, a memory, storage and the like during operation is strictly limited, the total occupancy rate of the CPU is not more than 90 percent of the total resources, and the application is forced to stop operating under the condition of exceeding the set resources.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116523077A (en) * | 2023-06-27 | 2023-08-01 | 国网汇通金财（北京）信息科技有限公司 | Early warning method, device, equipment and storage medium based on container technology |
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| CN116523077A (en) * | 2023-06-27 | 2023-08-01 | 国网汇通金财（北京）信息科技有限公司 | Early warning method, device, equipment and storage medium based on container technology |
| CN116523077B (en) * | 2023-06-27 | 2023-09-15 | 国网汇通金财（北京）信息科技有限公司 | Early warning method, device, equipment and storage medium based on container technology |
| CN117094563A (en) * | 2023-10-16 | 2023-11-21 | 南京六季光电技术研究院有限公司 | Intelligent liquid waste leakage monitoring system and method based on big data |
| CN117094563B (en) * | 2023-10-16 | 2024-02-06 | 南京六季光电技术研究院有限公司 | Intelligent liquid waste leakage monitoring system and method based on big data |
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