CN112882915B - Object binding-based monitoring measuring point misconnection automatic detection method - Google Patents
Object binding-based monitoring measuring point misconnection automatic detection method Download PDFInfo
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- CN112882915B CN112882915B CN202110268245.2A CN202110268245A CN112882915B CN 112882915 B CN112882915 B CN 112882915B CN 202110268245 A CN202110268245 A CN 202110268245A CN 112882915 B CN112882915 B CN 112882915B
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
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Abstract
A monitoring signal measuring point misconnection automatic detection method based on object binding is characterized in that on the basis of an object tree database model, in the process of editing a configuration logic page picture of a monitoring system, a graphic primitive is scanned, database object nodes in an object tree dynamically linked with the graphic primitive are compiled, detected and matched, uniqueness detection of an object measuring point, data source attribute detection, association relation with superior equipment and control range attribution are included, measuring point misconnection conditions in a monitoring logic page picture of a hydropower station are automatically identified, and a detection alarm result is output.
Description
Technical Field
The invention belongs to the technical field of power equipment maintenance, and relates to an object binding-based automatic detection method for monitoring point misconnection.
Background
The monitoring signal data is basic data of the operation of a hydropower station computer monitoring system and plays a vital role in the safe and stable operation of the hydropower station, so that the data correctness is ensured to be very important.
At present, most of hydropower station monitoring systems, especially large hydropower stations, have monitoring data up to tens of thousands, have large data volume, are mostly related to sensor equipment, are not related to superior equipment, have no direct attribution of signals, and have tedious work for checking monitoring signals, so that data measuring points which are frequently in error connection or error display exist in the monitoring picture display of the hydropower station, most of the hydropower stations judge whether the data of the measuring points is correct or not by comparing information of related monitoring signals through manual inspection only to find the abnormity of the telemetering data, once the monitoring data of the monitoring system is inaccurate, the real-time monitoring and judgment of operation and maintenance personnel on the state of the hydropower station equipment can be influenced, and the searching and positioning of data sources which are in error connection are mostly judged by staff according to accumulated work experience knowledge, so that the problems of quick and accurate discovery and positioning are not facilitated, the stability and the reliability of the safety operation of the hydropower station monitoring system are not facilitated, and the safety and the stability of the operation of the power grid are threatened greatly.
Disclosure of Invention
The invention aims to solve the technical problem of providing an object binding-based monitoring measuring point misconnection automatic detection method, which can detect, find and process misconnection and miscontured and displayed monitoring data points in time, eliminate equipment accident potential, ensure the accuracy and real-time of hydropower station monitoring data and ensure the safe and stable operation of a hydropower station.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: an object binding-based monitoring measuring point misconnection automatic detection method comprises the following steps:
step 1, a database object tree model bound based on equipment objects is established, and the object tree database model displays configuration information and attribute parameters of a database in a tree form;
step 2, judging whether the graphic elements of all the control equipment objects and the database object tree data are stored; if not, the step 3 is carried out after the storage, and if yes, the step 3 is directly carried out;
step 3, determining a monitoring logic page picture formed by equipment object graphic elements to be analyzed in the object tree model;
step 4, performing link scanning processing on the graphic elements which are edited and dynamically linked in the logical page picture;
step 5, compiling, detecting and analyzing the attributes, parameters and input/output of the object primitives in the logical page and the data nodes in the database object tree dynamically linked with the object primitives one by one in sequence;
step 6, outputting and displaying the detection and analysis result, including uniqueness detection of the attribute value of the scanning object and data source attribute detection;
and 7, judging whether all the configured logical page pictures are compiled and detected completely, if not, entering the step 5, and if so, ending.
In step 1, the object tree database model comprises equipment object tree configuration, service and process configuration, system basic configuration, database configuration, network bus configuration, host configuration, cross-region communication configuration, log service configuration, command configuration and authority management configuration, data point type and data point range; the hierarchical classification of the equipment is realized, the association of the data measuring points and the superior equipment is realized, and the region of the signal belongs to the data measuring points.
In step 3, editing the attributes and parameters of the object image elements and dynamically displaying and linking the attributes and parameters with monitoring point data to be correspondingly expressed; the object primitive includes input, output, range, alarm value and data stream.
In step 4, the color of the object primitive which is edited and dynamically linked with the data testing point in the scanning process is displayed in green, and the color of the primitive without the dynamic link is scanned and displayed in gray.
And 5, comparing, detecting, matching and analyzing the type, configuration parameters, input/output, association relation with superior equipment and region attribution of the object primitive with the dynamically linked object tree data point configuration information and attribute parameters of the object primitive in sequence.
Step 6, displaying error classes including attribute parameter unset, connection broken line, data dynamic link error, input/output type error and error exceeding control range, and when the detection result has alarm or error, the configuration logic page picture can automatically pop up the content of information window display error; and if the information of the double-click information window is positioned at the position where the error occurs, and no alarm or error exists, the compiling, detecting and analyzing are successful.
A monitoring signal measuring point misconnection automatic detection method based on object binding is based on an object tree database model, in the process of editing a configuration logical page picture of a monitoring system, compiling, detecting and matching a database object node in an object tree dynamically linked with a graphic element by scanning the graphic element, automatically identifying the measuring point misconnection condition in a monitoring logical page picture of a hydropower station and outputting a detection alarm result, wherein the method comprises uniqueness detection of an object measuring point, data source attribute detection, association relation with superior equipment and control range attribution, and is beneficial to maintaining the correctness and real-time of monitoring system data, eliminating equipment accident hidden danger and ensuring safe and stable operation of the hydropower station.
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The invention is further illustrated by the following figures and examples.
FIG. 1 is a schematic flow chart of the present invention.
Detailed Description
As shown in fig. 1, an automatic detection method for misconnection of monitoring measurement points based on object binding includes the following steps:
step 1, a database object tree model bound based on equipment objects is established, and the object tree database model displays configuration information and attribute parameters of a database in a tree form;
step 2, judging whether the graphic elements of all the control equipment objects and the database object tree data are stored; if not, the step 3 is carried out after the storage, and if yes, the step 3 is directly carried out;
step 3, determining a monitoring logic page picture formed by equipment object graphic elements to be analyzed in the object tree model;
step 4, performing link scanning processing on the graphic elements which are edited and dynamically linked in the logical page picture;
step 5, compiling, detecting and analyzing the attributes, parameters and input/output of the object primitives in the logical page and the data nodes in the database object tree dynamically linked with the object primitives one by one in sequence;
step 6, outputting and displaying the detection and analysis result, including uniqueness detection of the attribute value of the scanning object and data source attribute detection;
and 7, judging whether all the configured logical page pictures are compiled and detected completely, if not, entering the step 5, and if so, ending. The method solves the problem that a method is provided for the field of automatic identification of the mis-connection of the measuring point, is beneficial to maintaining the correctness and the real-time performance of the data of the monitoring system, eliminates the hidden danger of equipment accidents, and ensures the safe and stable operation of the power station.
In step 1, the object tree database model comprises equipment object tree configuration, service and process configuration, system basic configuration, database configuration, network bus configuration, host configuration, cross-region communication configuration, log service configuration, command configuration and authority management configuration, data point type and data point range; the hierarchical classification of the equipment is realized, the association of the data measuring points and the superior equipment is realized, and the region of the signal belongs to the data measuring points. This step is intended to create binding data and database objects.
In step 3, editing the attributes and parameters of the object image elements and dynamically displaying and linking the attributes and parameters with monitoring point data to be correspondingly expressed; the object primitive includes input, output, range, alarm value and data stream. The purpose of this step is to determine the detection items of the dynamic detection points and to establish dynamic display links to provide elements for the dynamic display of the image in the next step.
In step 4, the color of the object primitive which has been edited in the scanning process and is dynamically linked with the data testing point is displayed in green, and the primitive without the dynamic link is scanned and displayed in gray. The step aims to distinguish the dynamic link condition of the data measuring points through colors and observe the condition of the data measuring points more intuitively.
And 5, comparing, detecting, matching and analyzing the type, configuration parameters, input/output, association relation with superior equipment and region attribution of the object primitive with the dynamically linked object tree data point configuration information and attribute parameters of the object primitive in sequence. The step aims to compare and detect the parameter items related to the object primitives with the dynamically linked object tree data point configuration information and attribute parameters, and perform mutual matching analysis during detection.
Step 6, displaying error classes including attribute parameter unset, connection broken line, data dynamic link error, input/output type error and error exceeding control range, and when the detection result has alarm or error, the configuration logic page picture can automatically pop up the content of information window display error; and if the information of the double-click information window is positioned at the position where the error occurs, and no alarm or error exists, the compiling, detecting and analyzing are successful. The step aims to automatically pop up corresponding error information through a window, double click the error information window to position the error position, and judge whether the compiling detection analysis is successful.
The above-described embodiments are merely preferred embodiments of the present invention, and should not be construed as limiting the present invention, and features in the embodiments and examples in the present application may be arbitrarily combined with each other without conflict. The protection scope of the present invention is defined by the claims, and includes equivalents of technical features of the claims. I.e., equivalent alterations and modifications within the scope hereof, are also intended to be within the scope of the invention.
Claims (6)
1. An object binding-based monitoring measuring point misconnection automatic detection method is characterized by comprising the following steps:
step 1, a database object tree model bound based on an equipment object is established, and the database object tree model displays configuration information and attribute parameters of a database in a tree form;
step 2, judging whether the graphic elements of all the control equipment objects and the database object tree data are stored; if not, the step 3 is carried out after the storage, and if yes, the step 3 is directly carried out;
step 3, determining a monitoring logic page picture formed by equipment object graphic elements to be analyzed in the object tree model;
step 4, performing link scanning processing on the graphic elements which are edited and dynamically linked in the logical page picture;
step 5, compiling, detecting and analyzing the attributes, parameters and input/output of the object primitives in the logical page and the data nodes in the database object tree dynamically linked with the object primitives one by one in sequence;
step 6, outputting and displaying the detection and analysis result, including uniqueness detection of the attribute value of the scanning object and data source attribute detection;
and 7, judging whether all the configured logical page pictures are compiled and detected completely, if not, entering the step 5, and if so, ending.
2. The method for automatically detecting the mis-connection of the monitoring measuring points based on the object binding as claimed in claim 1, wherein: in step 1, the database object tree model comprises equipment object tree configuration, service and process configuration, system basic configuration, database configuration, network bus configuration, host configuration, cross-region communication configuration, log service configuration, command configuration and authority management configuration, data point type and data point range; the hierarchical classification of the equipment is realized, the association of the data measuring points and the superior equipment is realized, and the region of the signal belongs to the data measuring points.
3. The method for automatically detecting the mis-connection of the monitoring measuring points based on the object binding as claimed in claim 1, wherein: in step 3, editing the attributes and parameters of the object image elements and dynamically displaying and linking the attributes and parameters with monitoring point data to be correspondingly expressed; the object primitive includes input, output, range, alarm value and data stream.
4. The method for automatically detecting the mis-connection of the monitoring measuring points based on the object binding as claimed in claim 1, wherein: in step 4, the color of the object primitive which has been edited in the scanning process and is dynamically linked with the data testing point is displayed in green, and the primitive without the dynamic link is scanned and displayed in gray.
5. The method for automatically detecting the mis-connection of the monitoring measuring points based on the object binding as claimed in claim 1, wherein: and 5, comparing, detecting, matching and analyzing the type, configuration parameters, input/output, association relation with the superior equipment and region attribution of the object primitive with the dynamically linked data point configuration information and attribute parameters of the object tree.
6. The method for automatically detecting the mis-connection of the monitoring measuring points based on the object binding as claimed in claim 1, wherein: step 6, displaying error classes including attribute parameter unset, connection broken line, data dynamic link error, input/output type error and error exceeding control range, and when the detection result has alarm or error, the configuration logic page picture can automatically pop up the content of information window display error; and if the information of the double-click information window is positioned at the position where the error occurs, and no alarm or error exists, the compiling, detecting and analyzing are successful.
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