CN112882915A - Object binding-based monitoring measuring point misconnection automatic detection method - Google Patents
Object binding-based monitoring measuring point misconnection automatic detection method Download PDFInfo
- Publication number
- CN112882915A CN112882915A CN202110268245.2A CN202110268245A CN112882915A CN 112882915 A CN112882915 A CN 112882915A CN 202110268245 A CN202110268245 A CN 202110268245A CN 112882915 A CN112882915 A CN 112882915A
- Authority
- CN
- China
- Prior art keywords
- configuration
- data
- error
- monitoring
- database
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- 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
- G06F11/3409—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 for performance assessment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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 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.
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 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.
Drawings
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 next step of dynamically displaying the image.
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 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.
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 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.
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 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.
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.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110268245.2A CN112882915B (en) | 2021-03-11 | 2021-03-11 | Object binding-based monitoring measuring point misconnection automatic detection method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110268245.2A CN112882915B (en) | 2021-03-11 | 2021-03-11 | Object binding-based monitoring measuring point misconnection automatic detection method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112882915A true CN112882915A (en) | 2021-06-01 |
| CN112882915B CN112882915B (en) | 2022-05-17 |
Family
ID=76040957
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110268245.2A Active CN112882915B (en) | 2021-03-11 | 2021-03-11 | Object binding-based monitoring measuring point misconnection automatic detection method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112882915B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116610683A (en) * | 2023-07-21 | 2023-08-18 | 国能日新科技股份有限公司 | Data binding method and device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1622556A (en) * | 2004-12-27 | 2005-06-01 | 烽火通信科技股份有限公司 | A link status detecting method in multi-service transmission platform |
| CN102521125A (en) * | 2011-11-30 | 2012-06-27 | 福州福大自动化科技有限公司 | Method for automatically detecting syntax error in control policy configuration |
| CN105868283A (en) * | 2016-03-23 | 2016-08-17 | 哈尔滨工程大学 | Data processing method applied to ship structure stress monitoring and assessment |
| US9425985B1 (en) * | 2010-08-31 | 2016-08-23 | Siklu Communication ltd. | Protection switching in radio networks |
| US20200322868A1 (en) * | 2015-07-17 | 2020-10-08 | Origin Wireless, Inc. | Method, apparatus, and system for improving topology of wireless sensing systems |
-
2021
- 2021-03-11 CN CN202110268245.2A patent/CN112882915B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1622556A (en) * | 2004-12-27 | 2005-06-01 | 烽火通信科技股份有限公司 | A link status detecting method in multi-service transmission platform |
| US9425985B1 (en) * | 2010-08-31 | 2016-08-23 | Siklu Communication ltd. | Protection switching in radio networks |
| CN102521125A (en) * | 2011-11-30 | 2012-06-27 | 福州福大自动化科技有限公司 | Method for automatically detecting syntax error in control policy configuration |
| US20200322868A1 (en) * | 2015-07-17 | 2020-10-08 | Origin Wireless, Inc. | Method, apparatus, and system for improving topology of wireless sensing systems |
| CN105868283A (en) * | 2016-03-23 | 2016-08-17 | 哈尔滨工程大学 | Data processing method applied to ship structure stress monitoring and assessment |
Non-Patent Citations (1)
| Title |
|---|
| 何金平等: "大坝多测点异常性态Bayes融合诊断模型", 《长江科学院院报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116610683A (en) * | 2023-07-21 | 2023-08-18 | 国能日新科技股份有限公司 | Data binding method and device |
| CN116610683B (en) * | 2023-07-21 | 2023-11-03 | 国能日新科技股份有限公司 | Data binding method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112882915B (en) | 2022-05-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2009025851A (en) | Work management apparatus and work management method | |
| CN114118224B (en) | Neural network-based full-system telemetry parameter anomaly detection system | |
| CN110398571A (en) | The method for inspecting and system of detection device | |
| CN112115927A (en) | Intelligent machine room equipment identification method and system based on deep learning | |
| CN111915122A (en) | Data monitoring method, device, equipment and storage medium | |
| CN112882915B (en) | Object binding-based monitoring measuring point misconnection automatic detection method | |
| CN111208140A (en) | Defect rechecking system and method | |
| CN111948489A (en) | Intelligent substation secondary equipment board card-level abnormal defect diagnosis and positioning method and system | |
| CN111626046B (en) | Correlation verification method for positions of telemetering text primitives and equipment primitives of transformer substation | |
| CN113888480A (en) | MES-based quality tracing method and system | |
| CN112804336A (en) | Fault detection method, device, system and computer readable storage medium | |
| CN110659201A (en) | Intelligent test analysis system for safety technology protection engineering | |
| CN112270373A (en) | Automatic three-remote change identification method for scheduling master station based on image identification technology | |
| CN111309791A (en) | Automatic data acquisition method for detection instrument | |
| CN112232339B (en) | Aviation display equipment fault detection method and monitoring device based on convolutional neural network | |
| CN103412256B (en) | A kind of thin film switch AOI detector and AOI detection method thereof | |
| CN113036906B (en) | Automatic inspection robot of power dispatching system | |
| CN112181549B (en) | System and method for recognizing dynamic perception of power icon of transformer substation monitoring interface | |
| CN111597067A (en) | IT fault phenomenon feedback system | |
| CN104765024A (en) | Onboard radar jamming automatic detection system | |
| CN112486841A (en) | Method and device for checking data collected by buried point | |
| CN107730123B (en) | Method for checking consistency of dispatching automation graph model specification | |
| CN103575327B (en) | A kind of cigarette physical index Aulomatizeted Detect analytical equipment | |
| CN112994231B (en) | Automatic point-to-point checking and accepting method for graphic images of power dispatching system | |
| CN112395201A (en) | ATS test method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |