CN112381244A - Resource real-time monitoring method based on D5000 power grid scheduling system - Google Patents
Resource real-time monitoring method based on D5000 power grid scheduling system Download PDFInfo
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Abstract
The invention discloses a resource real-time monitoring method based on a D5000 power grid dispatching system, which monitors resource use information in the D5000 power grid dispatching system in real time by a period, calls an EMS system service bus, updates the resource use information into a telemetry table by real-time library service, writes the information into a historical library by passive sampling service, and displays the information by a human-computer interface of the D5000 power grid dispatching system so as to quickly identify the service resource use condition of the system, timely discover the problem of abnormal access of important resources of the system, processes the information as early as possible and avoid system faults in the bud.
Description
Technical Field
The invention relates to the technical field of resource use information monitoring, in particular to a resource real-time monitoring method based on a D5000 power grid scheduling system.
Background
In a D5000 system supported by the existing intelligent power grid scheduling technology, the CPU utilization rate, the physical memory utilization rate, the hard disk partition utilization rate, the number of file handles, the number of real-time library scada service connections and the like of each important server are daily patrol work contents of automatic operation and maintenance personnel, the patrol work capacity is large, the automatic display function is not provided, the automatic operation and maintenance personnel need to manually log in for patrol, and the work efficiency is low.
Therefore, how to develop a method capable of realizing automatic monitoring to replace the manual login and inspection of operation and maintenance personnel becomes a problem to be solved urgently.
Disclosure of Invention
In view of the above, the invention provides a resource real-time monitoring method based on a D5000 power grid scheduling system, so as to at least solve the problem of low working efficiency of the conventional manual login and inspection method for operation and maintenance personnel.
The invention provides a technical scheme, in particular to a resource real-time monitoring method based on a D5000 power grid dispatching system, which comprises the following steps:
s1: periodically acquiring resource use information in the D5000 power grid scheduling system;
s2: combing and screening the acquired resource use information, and combining according to a customized format to form a standard E-format file;
s3: updating the formed standard E format file into a telemetry table through real-time library service in the D5000 power grid dispatching system;
s4: and writing the resource use information in the telemetry table into a history library of the D5000 power grid dispatching system through passive sampling service, and displaying the resource use information through a human-computer interface of the D5000 power grid dispatching system.
Preferably, the resource usage information includes: CPU utilization rate, physical memory utilization rate, hard disk partition utilization rate, file handle use number, real-time library scada service connection number, real-time library public service connection number, mids service connection number, query _ sample service connection number and database service connection number.
Further preferably, the file name of the E-format file has a standard export time for indicating when the resource usage profile is exported.
Further preferably, step S3: updating the formed standard E format file into a telemetry table through real-time library service in the D5000 power grid dispatching system, and specifically comprising the following steps:
s301: analyzing the text according to the E-format text specification, and acquiring data information;
s302: converting the data format of the acquired data information according to the data type corresponding to the data information;
s303: packaging the data information after format conversion according to the corresponding structure type, and storing the data information into a vector container;
s304: reading other telemetering amount real-time library data information and storing the data information into a dictionary container;
s305: and taking out the records in the vector container one by one to match with the records in the dictionary table, matching the resource use information with the newly-established records of other remote measurement tables one by one, and calling the real-time library service to update the real-time library.
More preferably, step S302: converting the data format of the acquired data information according to the data type corresponding to the data information, specifically:
converting the character data into floating point data, and converting the text data into character string data.
Further preferably, in step S303, the vector container is a vector container that can be dynamically expanded according to an actual data size.
More preferably, step S301 further includes: and acquiring time information from the E-format file.
Further preferably, in step S4, the resource usage information in the telemetry table is written into the history library of the D5000 power grid scheduling system through a passive sampling service, specifically:
and through the passive sampling interface service in the D5000 power grid dispatching system, after data information is submitted to a sampling definition service, the data information is written into a history library of the D5000 power grid dispatching system.
Further preferably, in step S4, the displaying of the resource usage information is performed through a human-computer interface of the D5000 power grid dispatching system, specifically:
s401: defining a graphical interface and drawing a curve display component;
s402: and displaying the resource use information in a curve form through a human-computer interface of the D5000 power grid dispatching system based on the data information, wherein each type of resource use information uses one curve display component.
Preferably, the curve display component obtains resource data in a history library by calling history query service in the D5000 power grid scheduling system.
Preferably, the human-computer interface of the D5000 power grid scheduling system displays the usage state of each type of resource usage information according to two curves, namely a today curve and a yesterday curve, and the color of the today curve is different from the color of the yesterday curve.
According to the resource real-time monitoring method based on the D5000 power grid dispatching system, the resource use information in the D5000 power grid dispatching system is monitored in real time periodically, an EMS system service bus is called, the information is updated into a telemetry table through real-time library service, the information is written into a history library through passive sampling service, and the information is displayed through a human-computer interface of the D5000 power grid dispatching system, so that the service condition of system service resources is identified quickly, the problem of abnormal access of important resources of the system is found in time, the problem is treated early, the system fault is avoided in advance, and the running stability is improved.
According to the resource real-time monitoring method based on the D5000 power grid dispatching system, automatic monitoring and result display of resource use information can be achieved, the method has the advantages of being high in working efficiency, good in accuracy and the like, and the running stability of the D5000 power grid dispatching system can be effectively improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a resource real-time monitoring method based on a D5000 power grid scheduling system according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of step S3 in a resource real-time monitoring method based on a D5000 power grid scheduling system according to an embodiment of the disclosure;
fig. 3 is a schematic flowchart of step S4 in the resource real-time monitoring method based on the D5000 power grid scheduling system according to the embodiment of the disclosure.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of methods consistent with certain aspects of the invention, as detailed in the appended claims.
In order to solve the problem of low working efficiency of the conventional manual login and inspection method for operation and maintenance personnel, the embodiment provides a resource real-time monitoring method based on a D5000 power grid scheduling system, and the method comprises the following steps:
s1: periodically acquiring resource use information in a D5000 power grid scheduling system;
s2: combing and screening the acquired resource use information, and combining according to a customized format to form a standard E-format file;
s3: updating the formed standard E format file into a telemetry table through real-time library service in a D5000 power grid dispatching system;
s4: and writing the resource use information in the telemetry table into a history library of the D5000 power grid dispatching system through passive sampling service, and displaying the resource use information through a human-computer interface of the D5000 power grid dispatching system.
Wherein, step S1: the method for periodically acquiring the resource use information in the D5000 power grid scheduling system comprises the following steps: and (3) using a script command based on linux, developing a resource information collection function through a shell programming technology, integrating and optimizing various commands, and forming a program script with complete functions for extracting and sorting resource information. By configuring the timing task, any period can be specified for dynamic acquisition of resource information, and acquisition at the minute level is generally set.
The obtained resource usage information includes: CPU utilization rate, physical memory utilization rate, hard disk partition utilization rate, file handle use number, real-time library scada service connection number, real-time library public service connection number, mids service connection number, query _ sample service connection number and database service connection number.
Step S2 is to sort and screen the acquired resource usage information, and combine them according to the customized format to form a standard E-format file, where the file name of the E-format file has a standard export time for indicating when the resource usage section is exported. The finally formed E-format file comprises: CPU utilization rate, physical memory utilization rate, hard disk partition utilization rate, file handle utilization number, real-time library scada service connection number, real-time library public service connection number, mids service connection number, query _ sample service connection number, database service connection number and other important system resource use index data.
Step S3: and updating the formed standard E-format file into a telemetry table through real-time library service in a D5000 power grid dispatching system, mainly analyzing and importing the E-format data based on development resource information of the D5000 power grid dispatching system, using a D5000 power grid dispatching system framework, comprising a service bus, a message bus, network real-time library service, system application management service, configuration file analysis service and passive sampling service, highly conforming to an intelligent power grid dispatching technology support system basic platform, and completely compiling and realizing according to a platform standard.
Referring to fig. 2, the specific process of step S3 is:
s301: analyzing the text according to the E-format text specification, and acquiring data information;
s302: converting the data format of the acquired data information according to the data type corresponding to the data information;
s303: packaging the data information after format conversion according to the corresponding structure type, and storing the data information into a vector container;
s304: reading other telemetering amount real-time library data information and storing the data information into a dictionary container; this allows the desired record to be located quickly among the records;
s305: and taking out the records in the vector container one by one to match with the records in the dictionary table, matching the resource use information with the newly-established records of other remote measurement tables one by one, and calling the real-time library service to update the real-time library.
When the data format of the data information is converted in step S302, specifically, the character data is converted into floating point data, and the text data is converted into character string data.
Step S303 encapsulates the data information after format conversion according to the corresponding structure type, and stores the encapsulated data information into a vector container, where each item of data information generally corresponds to one structure type, so that when storing the data information, firstly, the data information type is identified, then, the structure type corresponding to the type of data information is identified, and finally, the data information is encapsulated into the corresponding structure type. In order to satisfy the storage requirement of data, the ector container is preferably a vector container that can be dynamically expanded according to the actual data size.
In order to improve accuracy, in step S301, time information is further obtained from the E-format file, so as to ensure correctness of matching between data and time.
In the above steps, when other existing real-time base tables to be measured in the D5000 power grid dispatching system are used, resource records can be monitored through manual definition, and names are formed according to specified requirements.
In the step S4, the resource usage information in the telemetry table is written into the history library of the D5000 power grid scheduling system through the passive sampling service, which specifically includes:
and through the passive sampling interface service in the D5000 power grid dispatching system, after submitting the data information to the sampling definition service, writing the data information into a history library of the D5000 power grid dispatching system.
In the step S4, the resource usage information is displayed through the human-computer interface of the D5000 power grid dispatching system, and the resource usage data information of the system is displayed by using a graphic component based on the human-computer function module of the D5000 power grid dispatching system.
Referring to fig. 3, step S4 specifically includes:
s401: defining a graphical interface and drawing a curve display component;
s402: and based on the data information, displaying the resource use information in a curve form through a human-computer interface of the D5000 power grid dispatching system, wherein each type of resource use information uses one curve display component, and each curve display component comprises the resource use condition of an important server.
The curve display component can obtain resource data in a history library by calling history query service in the D5000 power grid dispatching system.
In order to facilitate comparison and discovery of the abnormal use condition of the important server resources, the human-computer interface of the D5000 power grid dispatching system displays the use state of each type of resource use information according to two curves, namely a today curve and a yesterday curve, and the color of the today curve is different from that of the yesterday curve so as to distinguish the use states.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It is to be understood that the present invention is not limited to what has been described above, and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (11)
1. A resource real-time monitoring method based on a D5000 power grid dispatching system is characterized by comprising the following steps:
s1: periodically acquiring resource use information in the D5000 power grid scheduling system;
s2: combing and screening the acquired resource use information, and combining according to a customized format to form a standard E-format file;
s3: updating the formed standard E format file into a telemetry table through real-time library service in the D5000 power grid dispatching system;
s4: and writing the resource use information in the telemetry table into a history library of the D5000 power grid dispatching system through passive sampling service, and displaying the resource use information through a human-computer interface of the D5000 power grid dispatching system.
2. The real-time resource monitoring method based on the D5000 power grid dispatching system according to claim 1, wherein the resource usage information comprises: CPU utilization rate, physical memory utilization rate, hard disk partition utilization rate, file handle use number, real-time library scada service connection number, real-time library public service connection number, mids service connection number, query _ sample service connection number and database service connection number.
3. The real-time resource monitoring method based on the D5000 power grid dispatching system as claimed in claim 1, wherein standard export time is provided in the file name of the E-format file for indicating when the resource usage profile is exported.
4. The real-time resource monitoring method based on the D5000 power grid dispatching system as claimed in claim 1, wherein the step S3: updating the formed standard E format file into a telemetry table through real-time library service in the D5000 power grid dispatching system, and specifically comprising the following steps:
s301: analyzing the text according to the E-format text specification, and acquiring data information;
s302: converting the data format of the acquired data information according to the data type corresponding to the data information;
s303: packaging the data information after format conversion according to the corresponding structure type, and storing the data information into a vector container;
s304: reading other telemetering amount real-time library data information and storing the data information into a dictionary container;
s305: and taking out the records in the vector container one by one to match with the records in the dictionary table, matching the resource use information with the newly-established records of other remote measurement tables one by one, and calling the real-time library service to update the real-time library.
5. The real-time resource monitoring method based on the D5000 power grid dispatching system as claimed in claim 4, wherein the step S302: converting the data format of the acquired data information according to the data type corresponding to the data information, specifically:
converting the character data into floating point data, and converting the text data into character string data.
6. The real-time resource monitoring method based on the D5000 power grid scheduling system according to claim 4, wherein in the step S303, the vector container is a vector container capable of being dynamically expanded according to an actual data volume.
7. The real-time resource monitoring method based on the D5000 power grid dispatching system as claimed in claim 4, wherein the step S301 further comprises: and acquiring time information from the E-format file.
8. The resource real-time monitoring method based on the D5000 power grid dispatching system according to claim 1, wherein in step S4, resource usage information in a telemetry table is written into a history library of the D5000 power grid dispatching system through a passive sampling service, specifically:
and through the passive sampling interface service in the D5000 power grid dispatching system, after data information is submitted to a sampling definition service, the data information is written into a history library of the D5000 power grid dispatching system.
9. The real-time resource monitoring method based on the D5000 power grid scheduling system according to claim 1, wherein in step S4, resource usage information is displayed through a human-computer interface of the D5000 power grid scheduling system, specifically:
s401: defining a graphical interface and drawing a curve display component;
s402: and displaying the resource use information in a curve form through a human-computer interface of the D5000 power grid dispatching system based on the data information, wherein each type of resource use information uses one curve display component.
10. The real-time resource monitoring method based on the D5000 power grid scheduling system according to claim 9, wherein the curve presentation component obtains resource data in a history library by calling a history query service in the D5000 power grid scheduling system.
11. The resource real-time monitoring method based on the D5000 power grid scheduling system according to claim 9, wherein the human-computer interface of the D5000 power grid scheduling system displays the usage state of each type of resource usage information according to two curves, namely a today curve and a yesterday curve, and the color of the today curve is different from the color of the yesterday curve.
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