Speed regulation system dynamic periodic sign continuous monitoring and abnormity sensing method and device and medium

Abstract

The invention discloses a speed regulation system dynamic periodic sign continuous monitoring and abnormity sensing method and device and a medium, and relates to the field of speed regulation system monitoring of a hydroelectric generating set. According to the characteristic that the oil pump is frequently started and stopped or is kept in a loading state for a long time when the speed regulation system operates abnormally, calculation, statistics, comparison and analysis are carried out aiming at the loading duration and the starting and stopping interval of the oil pump when the unit is in a stable operation interval after grid connection and the unit is in a non-grid-connection state. Therefore, periodic continuous physical sign monitoring and abnormity sensing are carried out on the speed regulation system.

Description

Technical Field

[0001] The present invention relates to the field of speed regulation system monitoring of hydropower units, and in particular to a method, device and medium for continuously monitoring dynamic periodic vital signs and sensing abnormalities of a speed regulation system. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.

[0003] The operating status of a hydropower unit's speed regulation system directly determines the plant's power generation quality, unit reliability, and stability, and is a key monitoring indicator for hydropower units. Abnormalities in the speed regulation system typically include frequent servo actuation within the stable load range, servo twitching, servo refusal, servo malfunction, and servo protective shutdown. These abnormalities can directly or indirectly lead to small fluctuations in unit load, unit frequency fluctuations, abnormal load increases, load slippage, and load rejection.

[0004] Currently, the vital signs monitoring and abnormality perception during the operation of the speed control system of the hydro-turbine generator set are mainly obtained through on-site inspections combined with regular manual analysis and calculation.

[0005] On-site inspections can only detect existing anomalies. If equipment deteriorates rapidly, there's a significant risk of escalating risks. Furthermore, equipment inspection results only reflect the instantaneous state of the equipment at the time of inspection. Due to the periodic nature of inspections, they don't cover equipment operating conditions during non-inspection periods.

[0006] Secondly, by collecting second-level data to generate analysis curves, the amount of data involved is very large and can only generate historical curves. Future trends are judged and analyzed through human subjective analysis of historical curves. The standards and conclusions are not unified, the analysis process is greatly influenced by subjectivity, and the selection of individual feature points for calculation and analysis is not universal.

[0007] Finally, when the above abnormal conditions occur, the governor hydraulic system will be frequently actuated. In order to stabilize the hydraulic system pressure, the oil pump will be frequently started and stopped or kept in a loaded state for a long time. Summary of the Invention

[0008] The present invention aims to address the problems existing in the prior art by providing a method, device, and medium for continuously monitoring the dynamic periodic vital signs and detecting anomalies of a speed control system. By utilizing the characteristic that when a speed control system is operating abnormally, the oil pump will frequently start and stop, or remain in a loaded state for a long time, the method calculates, counts, compares, and analyzes the loading duration and start and stop intervals of the oil pump when the unit is in the stable operating range after grid connection and when the unit is not grid connected. This method allows for continuous monitoring of the periodic vital signs and detection of anomalies in the speed control system.

[0009] The technical solutions of the present invention are as follows: The method for continuous monitoring of dynamic periodic signs and abnormality perception of the speed control system includes: When the unit is in the stable operation range after grid connection or in the non-grid connection state, the start and stop time data of the oil pressure pump are collected in real time; Determine an effective stable operation interval by a dynamic sliding extension algorithm, wherein the effective stable operation interval includes a grid-connected state stable interval and a non-grid-connected state time window; Extract and sort the oil pump start-up events within the effective stable operation range, and calculate the average interval time of the stable range, the average daily interval time, and the average interval time over multiple days; Compare the current daily average interval time with the historical multi-day average interval time. When T is satisfied, day <0.8×T w When an exception prompt is triggered, Where T w Indicates the historical average interval time within the preset period, T day Indicates the average interval time of the day.

[0010] Furthermore, the determination of the grid-connected state stability interval includes: After the unit is connected to the grid, continuous monitoring is performed for 600 seconds, and the maximum power P in the statistical window is max and the minimum value P min ; When |P max -P min |≤ΔP, mark the continuous time T from the grid connection moment n is the stable interval [S i ,E i ]; where ΔP is the set value of the allowable power fluctuation in the stable range.

[0011] Furthermore, the dynamic sliding expansion algorithm specifically includes: When the current T n When the window meets the stability conditions, a 1-minute sliding step is used for continuous calculation to form multiple continuous stable intervals; If multiple consecutive windows meet the conditions, they can be merged into a longer continuous stable interval.

[0012] Furthermore, the definition of the non-grid-connected state time window includes: The start time is Toff+20 minutes after the last grid connection end time. The end time is the next grid connection start time Ton-10 minutes; Validity check: When Toff+20 minutes>Ton-10 minutes, the time window is considered invalid.

[0013] Furthermore, if the number of starts in the stable interval n ≥ 2, the average interval time of the stable interval is calculated by the following formula: :

[0014] Otherwise, the interval is ignored.

[0015] Furthermore, the abnormal prompt triggering conditions also include: When the number of starts within the stable range is insufficient, "1" or "0" is marked according to the actual number of starts; When the number of valid stable intervals m is less than 1, it is marked as "insufficient data"; When there is only one day of valid data, T w Set the value to T day .

[0016] Furthermore, the average daily interval time T day Calculated by the following formula: .

[0017] Furthermore, the average interval time T w Calculated by the following formula:

[0018] in: w is the number of days.

[0019] The present invention also proposes a device for continuously monitoring dynamic periodic vital signs and sensing abnormalities of a speed control system, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for continuously monitoring dynamic periodic vital signs and sensing abnormalities of a speed control system as described above are implemented.

[0020] The present invention also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned method for continuous monitoring of dynamic periodic vital signs and abnormality perception of the speed control system.

[0021] Compared with the existing technology, the beneficial effects of the present invention are: 1. Through refined time window division and an efficient event matching algorithm, real-time monitoring of the governor hydraulic system's operating status is achieved. Combined with historical data analysis, this technology accurately identifies abnormal start and stop patterns in the oil pump, providing data support for hydropower station equipment maintenance. Future expansion will include multi-dimensional indicators (such as pressure fluctuation and speed deviation) to build a comprehensive health assessment system.

[0022] 2. Engineering modeling of time and space windows, the first asymmetric design of "first 20 minutes monitoring window + last 10 minutes protection window", effectively covering the parameter stabilization period after the unit is off-grid and the preparation period before grid connection.

[0023] 3. Later, it can be expanded to graph-assisted diagnosis to build a governor fault correlation graph, and an AI interface can be reserved to support subsequent access to the LSTM prediction model to achieve reasoning chain analysis from abnormal phenomena to root causes. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a block diagram of the method for continuous monitoring of dynamic periodic signs and abnormality perception of the speed control system. DETAILED DESCRIPTION

[0025] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or apparatus comprising the element.

[0026] The features and performance of the present invention are further described in detail below with reference to the embodiments.

[0027] Example 1 This embodiment proposes a method, device and medium for continuous monitoring of dynamic periodic vital signs and abnormality perception of the speed control system, which utilizes the characteristic that the oil pump of the speed regulator hydraulic system will frequently start and stop or remain in a loaded state for a long time when an abnormality occurs in the speed control system. When the unit is in the stable operation range after grid connection and when the unit is not grid connected, the loading time and start and stop intervals of the oil pump are calculated, counted, compared and analyzed. By using dynamic sliding to expand the calculation interval, the operating conditions of the oil pump are dynamically compared, thereby performing dynamic periodic vital signs continuous monitoring and abnormality perception of the speed control system more efficiently, reliably and timely than regular equipment inspections and manual subjective feature point calculation and analysis.

[0028] See also Figure 1 , the method for continuous monitoring of dynamic periodic signs and abnormality perception of the speed control system specifically includes: 1. Calculation under grid-connected status 1. Determine the stable operating range (only required for grid-connected status) Since the governor hydraulic system will continue to operate normally during the load adjustment process after the unit is connected to the grid, it will affect the final and statistical comparison results. Therefore, it is necessary to determine the stable operating range for calculation.

[0029] Trigger conditions: (1) The unit is connected to the grid (confirming that the grid connection node is in a closed state through the switch signal); (2) After grid connection, continuous monitoring for 10 minutes (600 seconds) is performed, and the maximum value P is met within the statistical window. max and the minimum value P min ; (3) Stable interval determination: If |P ma xP min |≤ΔP, then mark the continuous time T starting from the grid connection moment n is the stable interval [S i ,E i ] (Note: ΔP: the setting value of the allowable power fluctuation in the stable range); (4) Sliding expansion: If the current T n The window is stable and the sliding step is 1 minute for continuous calculation to form multiple continuous stable intervals; (5) Dynamic expansion: If multiple consecutive windows meet the conditions, they can be merged into a longer continuous stable interval (such as the original T n =10min, if multiple consecutive windows meet the conditions, the current T n ≥10min) 2. Extract the oil pump start-up event within the stable range For the stable interval [S i ,E i ], filter out the i ≤T start ≤E i Oil pump start time T start , and sorted by timeline.

[0030] 3. Calculate the average interval time T of the stable interval segment If the number of starts within the stable range n≥2: (n≥2) Otherwise, the interval is ignored.

[0031] 4. Calculate the average daily interval time T day Summarize the T of all valid stable intervals on the day segment , find the average: (m≥1) m is the number of effective stable intervals on that day.

[0032] 5. Calculate the average interval time T over multiple days w Summarize Tw of all valid stable intervals over multiple days and calculate the average value: (w ≥ 1) w is the number of days.

[0033] 6. Historical data comparison and abnormal prompts Trigger condition: If the current T day <0.8×T w , it will be highlighted in red in the report or monitoring system.

[0034] Supplementary logic: If the number of starts within the stable interval is insufficient, mark "1" or "0" depending on the specific number of starts; if there is no stable interval (m < 1), mark "Insufficient data"; if there is only one day of data, then T w Take T day value.

[0035] 2. Calculation in non-grid-connected state 1. Definition of non-grid-connected area Time window interval: Start: The last grid connection end time T off +20min; End: The next grid connection start time T on -10min; Validity check: If T off +20min>T on -10min, this interval is invalid.

[0036] 2. Interval time calculation The calculation method of average interval time refers to the above grid connection scenario; 3. Historical data comparison and abnormal prompts The data comparison and abnormal prompt methods refer to the above-mentioned grid-connected scenario.

[0037] This embodiment also proposes a device for continuously monitoring dynamic periodic vital signs and sensing abnormalities of a speed control system, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor; when the processor executes the computer program, the steps of the method for continuously monitoring dynamic periodic vital signs and sensing abnormalities of a speed control system are implemented; preferably, the computer program can be executable on a terminal device, such as a personal computer.

[0038] This embodiment also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the above-mentioned method for continuous monitoring of dynamic periodic vital signs and abnormality perception of the speed control system; however, the computer-readable storage medium of the present invention is not limited to this. In this document, the readable storage medium can be any tangible medium that contains or stores a program, and the program can be used by or in combination with an instruction execution system, device or component.

[0039] The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0040] The computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, wherein the readable program code is carried. The data signal propagated may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The readable storage medium may also be any readable medium other than a readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or component. The program code contained on the readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination thereof.

[0041] The program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, C++, and the like, as well as conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving a remote computing device, the remote computing device may be connected to the user computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0042] The above-described embodiments merely represent specific implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of protection of the present application. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the technical concept of the present application, and all such variations and improvements fall within the scope of protection of the present application.

[0043] This background section is provided to generally present the context of the invention, and the work of the presently named inventors, the work to the extent described in this background section, and aspects of the description in this section that did not constitute prior art at the time of filing are neither explicitly nor implicitly admitted to be prior art to the present invention.

Claims

1. A method for continuously monitoring dynamic periodic signs of a speed control system and sensing abnormalities, characterized in that: include: When the unit is in the stable operation range after grid connection or in the non-grid connection state, real-time data on the start and stop time of the oil pressure pump is collected; Determine an effective stable operation interval by a dynamic sliding extension algorithm, wherein the effective stable operation interval includes a grid-connected state stable interval and a non-grid-connected state time window; Extract and sort the oil pump start-up events within the effective stable operation range, and calculate the average interval time of the stable range, the average daily interval time, and the average interval time over multiple days; Compare the current daily average interval time with the historical multi-day average interval time. When T is satisfied, day <0.8×T w When an exception prompt is triggered; T w Indicates the historical average interval time within the preset period, T day Indicates the average interval time of the day.

2. The method for continuous monitoring and abnormality perception of dynamic periodic vital signs of a speed control system according to claim 1 is characterized in that: The determination of the grid-connected state stability interval includes: After the unit is connected to the grid, continuous monitoring is performed for 600 seconds, and the maximum power P in the statistical window is max and the minimum value P min ; When |P max -P min |≤ΔP, mark the continuous time T from the grid connection moment n is the stable interval [S i ,E i ]; where ΔP is the set value of the allowable power fluctuation in the stable range.

3. The method for continuous monitoring and abnormality perception of dynamic periodic vital signs of a speed control system according to claim 2, characterized in that: The dynamic sliding expansion algorithm specifically includes: When the current T n When the window meets the stability conditions, a 1-minute sliding step is used for continuous calculation to form multiple continuous stable intervals; If multiple consecutive windows meet the conditions, they can be merged into a longer continuous stable interval.

4. The method for continuous monitoring of dynamic periodic vital signs and abnormality perception of a speed control system according to claim 1, characterized in that: The definition of the non-grid-connected state time window includes: The start time is Toff+20 minutes after the last grid connection end time. The end time is the next grid connection start time Ton-10 minutes; Validity check: When Toff+20 minutes>Ton-10 minutes, the time window is determined to be invalid.

5. The method for continuous monitoring and abnormality perception of dynamic periodic vital signs of a speed control system according to claim 1 is characterized in that: If the number of starts in the stable interval n ≥ 2, the average interval time of the stable interval is calculated by the following formula : Otherwise, the interval is ignored.

6. The method for continuous monitoring of dynamic periodic vital signs and abnormality perception of a speed control system according to claim 1, characterized in that: The abnormal prompt trigger conditions also include: When the number of starts within the stable range is insufficient, "1" or "0" is marked according to the actual number of starts; When the number of valid stable intervals m is less than 1, it is marked as "insufficient data"; When there is only one day of valid data, T w Set the value to T day .

7. The method for continuous monitoring of dynamic periodic vital signs and abnormality perception of a speed control system according to claim 5, characterized in that: Average time interval T per day day Calculated by the following formula: 。 8. The method for continuous monitoring of dynamic periodic vital signs and abnormality perception of a speed control system according to claim 7, characterized in that: Average interval time over multiple days T w Calculated by the following formula: in: w is the number of days.

9. A device for continuously monitoring dynamic periodic vital signs and sensing abnormalities of a speed control system, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method for continuously monitoring dynamic periodic vital signs and sensing abnormalities of a speed control system as described in any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for continuous monitoring of dynamic periodic vital signs and abnormality perception of a speed control system as described in any one of claims 1 to 8 are implemented.

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