Intelligent monitoring method and system based on power plant monitoring screen

Abstract

The invention discloses an intelligent monitoring method and system based on a power plant monitoring screen, and the method comprises the steps: comparing the actual data of monitored equipment with preset data, judging the actual data if there is a difference between the actual data and the preset data, and outputting a final score; and comparing the final score with a preset alarm value, obtaining whether alarm information is sent or not according to a comparison result, and popping up a thumbnail. The operation efficiency of the hydropower station is improved.

Description

Technical Field

[0001] The present application relates to the technical field of hydropower station monitoring, and in particular to an intelligent monitoring method and system based on a power plant monitoring screen. Background Art

[0002] Hydropower station monitoring systems are crucial for ensuring safe, stable, and economical operation. Traditional monitoring methods rely primarily on reviewing all alarms, checking system status, and viewing equipment operating data. These methods suffer from issues such as high alarm volume, low efficiency, and slow review speeds, placing a significant burden on on-duty personnel and impacting the safe operation of the power station.

[0003] Previous systems provided event and alarm browsing and device status display interfaces for operators to review and confirm events and alarms, and monitor the main status of equipment. However, in practice, the monitoring data was cluttered: each device had numerous points and parameter feedback statuses, resulting in a very dense display of data. Operators had to spend a long time observing data changes and alarms on the screen. This prolonged observation led to visual fatigue, slowed reaction times, and difficulty in quickly analyzing alarm issues or parameter impacts. Summary of the Invention

[0004] In view of this, the present application provides an intelligent monitoring method and system based on a power plant monitoring screen, which can solve the problems of large amount of alarm data and disordered monitoring data in the prior art.

[0005] This application discloses an intelligent monitoring method based on a power plant monitoring screen, which includes:

[0006] Step 1: By comparing the actual data of the monitored device with the preset data, if there is a difference between the actual data and the preset data, the actual data is judged and the final score is output;

[0007] Step 2: Compare the final score with the preset alarm value, and determine whether to issue an alarm message and pop up a thumbnail based on the comparison result.

[0008] Furthermore, the step 1 includes:

[0009] By comparing the actual data of the monitored device with the preset data, if there is a difference between the actual data and the preset data, different scores will be displayed and thumbnails will pop up for easy viewing;

[0010] Different scores are used to determine whether the actual data corresponding to the monitored equipment is normal. When the score is in the first value range, the legend background is green; when the score is in the second value range, the legend background is yellow; when the score is in the third value range, the legend background is red; when the score is in the fourth value range, the legend background is white; white corresponds to the monitored equipment being out of use or under maintenance; there is no overlap between the first value range, the second value range, the third value range, and the fourth value range;

[0011] The greater the gap between the actual data and the preset mathematical model, the lower the score;

[0012] If the legend background is red, the actual data corresponding to the monitored device is abnormal, otherwise, it is normal.

[0013] Furthermore, the step 2 includes:

[0014] Step 21: The absolute value of the difference between the ratio of the measured value of the monitored device to the standard value and 1 is divided into four levels of scoring, where the measured value is voltage or current, and the standard value is the value of the monitored device under normal working conditions;

[0015] Step 22: Obtain the final score of the monitored device based on the four-level scores and the number of actual data with abnormalities;

[0016] Step 23: Compare the final score with the preset alarm value. If the comparison result is greater than the preset alarm value, an alarm message is issued and a thumbnail pops up.

[0017] Furthermore, the step 21 includes:

[0018] When the absolute value belongs to the first interval, the score is in the first value interval, the evaluation is excellent, and the value in the first value interval is associated with the absolute value;

[0019] When the absolute value belongs to the second interval, the score is in the second value interval, the evaluation is good, and the value in the second value interval is associated with the absolute value;

[0020] When the absolute value belongs to the third interval, the score is in the third value interval, the evaluation is average, and the value in the third value interval is associated with the absolute value;

[0021] When the absolute value belongs to the fourth interval, the score is in the fourth value interval, the evaluation is poor, and the numerical value in the fourth value interval is associated with the absolute value.

[0022] Furthermore, the step 22 includes:

[0023] When more than three parameters are evaluated as poor, the final score is: starting from p points, k points are deducted for each parameter evaluated as poor;

[0024] When the number of parameters evaluated as average exceeds 20% of the total number of parameters participating in the evaluation, the final score is as follows: starting from q points, m points will be deducted for each parameter evaluated as average;

[0025] When the number of parameters evaluated as good exceeds 50% of the total number of parameters participating in the evaluation, the final score is: starting from r points, n points are deducted for each parameter evaluated as good;

[0026] Individual key or special data can be independently programmed for judgment conditions. When the equipment condition reaches the shutdown and maintenance conditions, the score can be configured not to be calculated and the score will be displayed in gray with a value of w. <q<r<w;k> m>n.

[0027] Furthermore, the step 23 further includes:

[0028] If the comparison result is less than or equal to the preset alarm value, no alarm message will be issued and a thumbnail will pop up.

[0029] Furthermore, the evaluation of the switch alarm quantity is only excellent and poor, or excellent and general; the evaluation criteria are: important alarm data is normal as excellent, abnormal as poor; general alarm data is normal as excellent, abnormal as general.

[0030] Furthermore, the main monitoring screen is presented in the form of comprehensive monitoring of equipment status, showing only the comprehensive status of equipment and important production data;

[0031] When an event alarm occurs, a related viewing screen pops up on the main monitoring screen. This screen uses a thumbnail format and is fixed as the highest layer to display the event screen. The thumbnail page is displayed around the main monitoring screen without affecting the viewing of the main monitoring page. When the mouse moves to the thumbnail screen, you can choose to enlarge it to full screen to view detailed data or confirm the event and close this jump.

[0032] Furthermore, different pages can customize the pop-up form or size of different alarm pages, and set the pop-up conditions through event alarm logic analysis;

[0033] The screen thumbnail adopts a floating effect design, showing the pop-up screen on the basis of the main monitoring screen. The main monitoring screen is adaptively reduced when the pop-up page is displayed so that the main screen can still be fully displayed;

[0034] When the number of pop-up screens exceeds the preset value, the size of the pop-up screens will be automatically reduced, and the outer frame of the pop-up screen will flash red to prompt the operator to check the alarm cause and confirm the alarm as soon as possible; the operator can confirm or eliminate the alarm by clicking on the thumbnail to view or close it;

[0035] When the page pop-up function is not used temporarily, you can set it to temporarily close the pop-up function, and you can set it to be turned on manually or automatically after a preset time.

[0036] The present application also discloses an intelligent monitoring system based on a power plant monitoring screen, which implements the above-mentioned intelligent monitoring method based on a power plant monitoring screen, and includes:

[0037] The calculation module is used to compare the actual data of the monitored device with the preset data. If there is a difference between the actual data and the preset data, the actual data is judged and a final score is output;

[0038] The early warning module is used to compare the final score with the preset alarm value, and determine whether to issue an alarm message and pop up a thumbnail based on the comparison result.

[0039] By adopting the above-mentioned technical solution, this application offers the following advantages: it improves hydropower station operation efficiency, reduces workload for on-duty personnel, reduces the risk of equipment accidents, and facilitates operation. This application changes the traditional management model of water conservancy hubs, which has a single, insufficient, and ineffective approach to equipment operation monitoring. This project is a bold attempt at informatization. It not only improves operational management efficiency and reduces labor intensity, but also enhances equipment reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0041] Figure 1 A schematic diagram of an intelligent monitoring method based on a power plant monitoring screen according to an embodiment of the present application;

[0042] Figure 2 This is a schematic diagram of another intelligent monitoring method based on a power plant monitoring screen according to an embodiment of the present application. DETAILED DESCRIPTION

[0043] The present application is further described with reference to the accompanying drawings and embodiments. The embodiments described are only a part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field should fall within the scope of protection of the embodiments of the present application.

[0044] See also Figure 1 and Figure 2 The present application provides an embodiment of an intelligent monitoring method based on a power plant monitoring screen, which includes:

[0045] Step 1: Compare the actual data of the monitored device with the preset data. If there is a difference between the actual data and the preset data, judge the actual data and output the final score. The preset data and actual data are the data of the monitored device working normally. The preset data includes voltage, current and active power; the actual data includes voltage, current and active power.

[0046] Step 2: Compare the final score with the preset alarm value, and determine whether to issue an alarm message and pop up a thumbnail based on the comparison result.

[0047] Optionally, step 1 includes:

[0048] By comparing the actual data of the monitored device with the preset data, if there is a difference between the actual data and the preset data, different scores will be displayed and thumbnails will pop up for easy viewing;

[0049] Different scores are used to determine whether the actual data corresponding to the monitored equipment is normal. When the score is in the first value range, the legend background is green; when the score is in the second value range, the legend background is yellow; when the score is in the third value range, the legend background is red; when the score is in the fourth value range, the legend background is white; white corresponds to the monitored equipment being out of use or under maintenance; there is no overlap between the first value range, the second value range, the third value range, and the fourth value range;

[0050] The greater the gap between the actual data and the preset mathematical model, the lower the score;

[0051] If the legend background is red, the actual data corresponding to the monitored device is abnormal, otherwise, it is normal.

[0052] Specifically, the total score is 100 points. If the score is greater than 90 points or less than 100 points, the legend background will be green; if the score is greater than 60 points or less than 90 points, it will be yellow; if the score is greater than 0 points or less than 60 points, it will be red; if the score is equal to 0 points, it will be white, indicating that it is out of use and under maintenance.

[0053] Optionally, step 2 includes:

[0054] Step 21: The absolute value of the difference between the ratio of the measured value of the monitored device to the standard value and 1 is divided into four levels of scoring, where the measured value is voltage or current, and the standard value is the value of the monitored device under normal working conditions;

[0055] Step 22: Obtain the final score of the monitored device based on the four-level scores and the number of actual data with abnormalities;

[0056] Step 23: Compare the final score with the preset alarm value. If the comparison result is greater than the preset alarm value, an alarm message is issued and a thumbnail pops up.

[0057] Optionally, step 21 includes:

[0058] When the absolute value belongs to the first interval, the score is in the first value interval, the evaluation is excellent, and the value in the first value interval is associated with the absolute value;

[0059] When the absolute value belongs to the second interval, the score is in the second value interval, the evaluation is good, and the value in the second value interval is associated with the absolute value;

[0060] When the absolute value belongs to the third interval, the score is in the third value interval, the evaluation is average, and the value in the third value interval is associated with the absolute value;

[0061] When the absolute value belongs to the fourth interval, the score is in the fourth value interval, the evaluation is poor, and the numerical value in the fourth value interval is associated with the absolute value.

[0062] Specifically, excellent: the value of (|(measured value / standard value)-1|) is greater than 0 and less than or equal to 0.2, the score is 90-100 points, and the evaluation is excellent. The calculation formula is: score=(0.9+(0.2-|(measured value / standard value)-1|)*0.5)*100.

[0063] Good: The value of (|(measured value / standard value)-1|) is greater than 0.2 and less than or equal to 0.8, the score is 60-90 points, and the evaluation is good. The calculation formula is: score=(0.9-(|(measured value / standard value)-1|-0.2)*0.5)*100.

[0064] General: The value of (|(measured value / standard value)-1|) is greater than 0.8 and less than or equal to 2. The score is 0-60 points, and the evaluation is general. The calculation formula is: score = (0.6-(|(measured value / standard value)-1|-0.8)*0.5)*100.

[0065] Poor: The value of (|(measured value / standard value)-1|) is greater than 2, the score is 0, and the evaluation is poor. The calculation formula is: score=0.

[0066] Optionally, step 22 includes:

[0067] When more than three parameters are evaluated as poor, the final score is: starting from p points, k points are deducted for each parameter evaluated as poor;

[0068] When the number of parameters evaluated as average exceeds 20% of the total number of parameters participating in the evaluation, the final score is as follows: starting from q points, m points will be deducted for each parameter evaluated as average;

[0069] When the number of parameters evaluated as good exceeds 50% of the total number of parameters participating in the evaluation, the final score is: starting from r points, n points are deducted for each parameter evaluated as good;

[0070] Individual key or special data can be independently programmed for judgment conditions. When the equipment condition reaches the shutdown and maintenance conditions, the score can be configured not to be calculated and the score will be displayed in gray with a value of w. <q<r<w;k> m>n.

[0071] Specifically, if more than three parameters are evaluated as poor, the equipment score will be deducted from 60 points, and 5 points will be deducted for each parameter evaluated as poor; the parameters are actual data, including voltage, current and active power;

[0072] If the parameters rated as average exceed 20% of the total number of parameters involved in the evaluation, the equipment score will be deducted from 70 points, and 3 points will be deducted for each parameter rated as average;

[0073] When the number of parameters evaluated as good exceeds 50% of the total number of parameters involved in the evaluation, the equipment score will be deducted from 80 points, and 2 points will be deducted for each parameter evaluated as good;

[0074] The judgment conditions for individual key or special data can be written separately. When the equipment conditions reach the shutdown and maintenance conditions, the score can be configured not to be calculated and the score will be displayed in gray with a score of 100.

[0075] Optionally, step 23 further includes:

[0076] If the comparison result is less than or equal to the preset alarm value, no alarm message will be issued and a thumbnail will pop up.

[0077] See also Figure 2 , the preset alarm value can be set to 90.

[0078] Optionally, the switch alarm quantity is evaluated as only excellent and poor, or excellent and average; the evaluation criteria are: important alarm data is normal as excellent, abnormal as poor; general alarm data is normal as excellent, abnormal as average.

[0079] Optionally, the main monitoring screen is displayed in the form of comprehensive equipment status monitoring, and only the comprehensive status of the monitored equipment and important production data are displayed; the comprehensive status of the monitored equipment is a customizable graphic or picture, and the comprehensive status determination of the monitored equipment is completed by the background calculation module as the basis for screen display. Different scores can correspond to comprehensive status graphics or pictures of different colors, indicating the real-time status of the monitored equipment after evaluation and calculation. Specifically, the total score is 100 points. If it is greater than 90 points and less than 100 points, the comprehensive status is displayed in green; if it is greater than 60 points and less than 90 points, it is yellow; if it is greater than 0 points and less than 60 points, it is red; if it is equal to 0 points, it is white, indicating deactivation and maintenance.

[0080] When an event alarm occurs, a related viewing screen pops up on the main monitoring screen. This screen is in the form of a thumbnail and is fixed to the highest layer to display the event screen. It is displayed around the main monitoring screen without affecting the viewing of the main monitoring page. When the mouse moves to the thumbnail screen, you can choose to enlarge it to full screen to view detailed data or confirm the event and close this jump.

[0081] Optionally, different pages can customize the pop-up form or size of different alarm pages, and set the pop-up conditions through event alarm logic analysis;

[0082] The screen thumbnail adopts a floating effect design, showing the pop-up screen on the basis of the main monitoring screen. The main monitoring screen is adaptively reduced when the pop-up page is displayed so that the main screen can still be fully displayed;

[0083] When the number of pop-up screens exceeds the preset value, the size of the pop-up screens will be automatically reduced, and the outer frame of the pop-up screen will flash red to prompt the operator to check the alarm cause and confirm the alarm as soon as possible; the operator can confirm or eliminate the alarm by clicking on the thumbnail to view or close it;

[0084] When the page pop-up function is not used temporarily, you can set it to temporarily close the pop-up function, and you can set it to be manually opened or automatically opened after a preset time (such as 24 hours).

[0085] The present application also provides an embodiment of an intelligent monitoring system based on a power plant monitoring screen, which implements the intelligent monitoring method based on a power plant monitoring screen described in the above embodiment, and includes:

[0086] The calculation module is used to compare the actual data of the monitored device with the preset data. If there is a difference between the actual data and the preset data, the actual data is judged and a final score is output;

[0087] The early warning module is used to compare the final score with the preset alarm value, and determine whether to issue an alarm message and pop up a thumbnail based on the comparison result.

[0088] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit them. Although the present application has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present application can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present application should be included in the scope of protection of the claims of the present application.

Claims

1. An intelligent monitoring method based on a power plant monitoring screen, characterized in that: include: Step 1: By comparing the actual data of the monitored device with the preset data, if there is a difference between the actual data and the preset data, the actual data is judged and the final score is output; Step 2: Compare the final score with the preset alarm value, and determine whether to issue an alarm message and pop up a thumbnail based on the comparison result.

2. The intelligent monitoring method based on the power plant monitoring screen according to claim 1 is characterized in that: The step 1 comprises: By comparing the actual data of the monitored device with the preset data, if there is a difference between the actual data and the preset data, different scores will be displayed and thumbnails will pop up for easy viewing; Different scores are used to determine whether the actual data corresponding to the monitored equipment is normal. When the score is in the first value range, the legend background is green; when the score is in the second value range, the legend background is yellow; when the score is in the third value range, the legend background is red; when the score is in the fourth value range, the legend background is white; white corresponds to the monitored equipment being out of use or under maintenance; there is no overlap between the first value range, the second value range, the third value range, and the fourth value range; The greater the gap between the actual data and the preset mathematical model, the lower the score; If the legend background is red, the actual data corresponding to the monitored device is abnormal, otherwise, it is normal.

3. The intelligent monitoring method based on the power plant monitoring screen according to claim 1 is characterized in that: The step 2 includes: Step 21: The absolute value of the difference between the ratio of the measured value of the monitored device to the standard value and 1 is divided into four levels of scoring, where the measured value is voltage or current, and the standard value is the value of the monitored device under normal working conditions; Step 22: Obtain the final score of the monitored device based on the four-level scores and the number of actual data with abnormalities; Step 23: Compare the final score with the preset alarm value. If the comparison result is greater than the preset alarm value, an alarm message is issued and a thumbnail pops up.

4. The intelligent monitoring method based on the power plant monitoring screen according to claim 3 is characterized in that: The step 21 includes: When the absolute value belongs to the first interval, the score is in the first value interval, the evaluation is excellent, and the value in the first value interval is associated with the absolute value; When the absolute value belongs to the second interval, the score is in the second value interval, the evaluation is good, and the value in the second value interval is associated with the absolute value; When the absolute value belongs to the third interval, the score is in the third value interval, the evaluation is average, and the value in the third value interval is associated with the absolute value; When the absolute value belongs to the fourth interval, the score is in the fourth value interval, the evaluation is poor, and the numerical value in the fourth value interval is associated with the absolute value.

5. The intelligent monitoring method based on the power plant monitoring screen according to claim 3 is characterized in that: The step 22 includes: When more than three parameters are evaluated as poor, the final score is: starting from p points, k points are deducted for each parameter evaluated as poor; When the number of parameters evaluated as average exceeds 20% of the total number of parameters participating in the evaluation, the final score is as follows: starting from q points, m points will be deducted for each parameter evaluated as average; When the number of parameters evaluated as good exceeds 50% of the total number of parameters participating in the evaluation, the final score is: starting from r points, n points are deducted for each parameter evaluated as good; Individual key or special data can be independently programmed for judgment conditions. When the equipment condition reaches the shutdown and maintenance conditions, the score can be configured not to be calculated and the score will be displayed in gray with a value of w. <q<r<w;k> m>n.

6. The intelligent monitoring method based on the power plant monitoring screen according to claim 3 is characterized in that: The step 23 further comprises: If the comparison result is less than or equal to the preset alarm value, no alarm message will be issued and a thumbnail will pop up.

7. The intelligent monitoring method based on the power plant monitoring screen according to claim 4 is characterized in that: The evaluation of switch alarm quantity can be divided into excellent and poor, or excellent and general; the evaluation criteria are: important alarm data is normal as excellent, abnormal as poor; general alarm data is normal as excellent, abnormal as general.

8. The intelligent monitoring method based on the power plant monitoring screen according to claim 1 is characterized in that: The main monitoring screen displays the equipment status in a comprehensive monitoring format, showing only the equipment's comprehensive status and important production data; When an event alarm occurs, a related viewing screen pops up on the main monitoring screen. This screen uses a thumbnail format and is fixed as the highest layer to display the event screen. The thumbnail page is displayed around the main monitoring screen without affecting the viewing of the main monitoring page. When the mouse moves to the thumbnail screen, you can choose to enlarge it to full screen to view detailed data or confirm the event and close this jump.

9. The intelligent monitoring method based on the power plant monitoring screen according to claim 1 is characterized in that: Different pages can customize the pop-up form or size of different alarm pages, and set the pop-up conditions through event alarm logic analysis; The screen thumbnail adopts a floating effect design, showing the pop-up screen on the basis of the main monitoring screen. The main monitoring screen is adaptively reduced when the pop-up page is displayed so that the main screen can still be fully displayed; When the number of pop-up screens exceeds the preset value, the size of the pop-up screens will be automatically reduced, and the outer frame of the pop-up screen will flash red to prompt the operator to check the alarm cause and confirm the alarm as soon as possible; the operator can confirm or eliminate the alarm by clicking on the thumbnail to view or close it; When the page pop-up function is not used temporarily, you can set it to temporarily close the pop-up function, and you can set it to be turned on manually or automatically after a preset time.

10. An intelligent monitoring system based on a power plant monitoring screen, implementing the intelligent monitoring method based on a power plant monitoring screen according to any one of claims 1 to 9, characterized in that: include: The calculation module is used to compare the actual data of the monitored device with the preset data. If there is a difference between the actual data and the preset data, the actual data is judged and a final score is output; The early warning module is used to compare the final score with the preset alarm value, and determine whether to issue an alarm message and pop up a thumbnail based on the comparison result.

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