A performance analysis method and device for a hydroelectric generator set speed regulation system

Abstract

The embodiment of the application provides a performance analysis method and device of a hydroelectric generating set speed regulation system, and relates to the technical field of data processing. The method is specifically as follows: data of a speed regulation system of a hydroelectric generating set is monitored to generate a target operation data set and save the target operation data set; all operation data at a target time is obtained from the target operation data set to generate a first operation data set, and a target working condition corresponding to the speed regulation system of the hydroelectric generating set at the target time is determined based on the first operation data set; all operation data between a start time and an end time corresponding to the target working condition is called from the target operation data set to generate a whole-process operation data set corresponding to the target working condition; and performance analysis is performed in combination with the whole-process operation data set corresponding to the target working condition to obtain a target performance state analysis result of the speed regulation system. The application can improve the performance of the speed regulation system of the hydroelectric generating set.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of data processing, in particular to a performance analysis method and device for a speed regulation system of a hydroelectric generating set. BACKGROUND

[0002] With the rapid development of China's economy and society, the requirement for power grid stability is getting higher and higher, and insufficient peak regulation capacity has become a prominent problem restricting the development of the power system. The hydroelectric power station plays an important role in regulating load, promoting energy saving of the power system and maintaining safe and stable operation of the power grid due to its operation characteristics of peak regulation and valley filling, and gradually becomes an indispensable regulating means for the power system in China. Therefore, higher requirements are put forward for the operation reliability of the hydroelectric generating set equipment.

[0003] The hydroelectric generating set can operate in multiple different states, and a series of actions are required for the unit equipment when transitioning from one state to another. In this process, the speed regulation system needs to be closely coordinated to control the hydroelectric generating set, and therefore, the operation performance of the speed regulation system of the hydroelectric generating set needs to be analyzed. However, at present, the operation performance analysis of the speed regulation system of the hydroelectric generating set is often simply based on the operation data at a certain isolated time point for performance analysis, which leads to the analysis results not being comprehensive and being difficult to truly reflect the actual operation of the speed regulation system of the hydroelectric generating set. SUMMARY

[0004] Therefore, the embodiments of the present application provide a performance analysis method and device for a speed regulation system of a hydroelectric generating set, which can be used in a multi-person collaborative automated test case writing scenario to avoid virus and Trojan samples from being killed.

[0005] In a first aspect, the embodiments of the present application provide a performance analysis method for a speed regulation system of a hydroelectric generating set, comprising:

[0006] Performing data monitoring on the speed regulation system of the hydroelectric generating set to generate a target operation data set and save it;

[0007] Obtaining all operation data at a target time from the target operation data set to generate a first operation data set, and determining a target working condition corresponding to the speed regulation system of the hydroelectric generating set at the target time based on the first operation data set;

[0008] Retrieving all operation data between a start time and an end time corresponding to the target working condition from the target operation data set to generate a whole-process operation data set corresponding to the target working condition;

[0009] Performing performance analysis on the whole-process operation data set corresponding to the target working condition to obtain a target performance state analysis result of the speed regulation system.

[0010] As an optional implementation of the embodiment of the application, the method for monitoring data of a speed regulation system of a hydro-generator unit to generate and save a target operation data set comprises the following steps of:

[0011] monitoring data of the speed regulation system through sensors corresponding to different measuring points to generate an initial operation data set;

[0012] performing data format arrangement on the initial operation data set to obtain the target operation data set, and transmitting the target operation data set to a database for saving.

[0013] As an optional implementation of the embodiment of the application, the method for monitoring data of a speed regulation system of a hydro-generator unit to generate and save a target operation data set comprises the following steps of:

[0014] performing data format arrangement on each data in the initial operation data set to generate the target operation data set;

[0015] transmitting the target operation data set to a database for saving.

[0016] As an optional implementation of the embodiment of the application, before the step of retrieving all operation data between a start time and an end time corresponding to the target working condition from the target operation data set to generate a whole-process operation data set corresponding to the target working condition, the method further comprises the following steps of:

[0017] determining the start time and the end time corresponding to the target working condition from the target operation data set in combination with performance characteristics of the target working condition.

[0018] As an optional implementation of the embodiment of the application, the method for monitoring data of a speed regulation system of a hydro-generator unit to generate and save a target operation data set comprises the following steps of:

[0019] analyzing whether each data in the whole-process operation data set is abnormal according to the whole-process operation data set corresponding to the target working condition to generate a first performance state analysis result;

[0020] retrieving a whole-process operation data corresponding to a historical working condition identical to the target working condition and performing comparative analysis to generate a second performance state analysis result;

[0021] generating the target performance state analysis result based on the first performance state analysis result and the second performance state analysis result.

[0022] As an optional implementation of the embodiment of the present application, the first performance state analysis result is generated by analyzing whether each data in the whole-process running data set corresponding to the target working condition is abnormal.

[0023] determining whether each data in the whole-process running data set meets a corresponding preset range size;

[0024] If not, fault diagnosis is performed based on the whole-process running data set to generate the first performance state analysis result.

[0025] As an optional implementation of the embodiment of the present application, the second performance state analysis result is generated by retrieving and comparing the whole-process running data corresponding to the historical working condition identical to the target working condition.

[0026] The whole-process running data corresponding to the historical working condition identical to the target working condition is retrieved to analyze the state difference of the speed regulation system under the same working condition at different times, so as to generate the second performance state analysis result.

[0027] In a second aspect, the embodiment of the present application provides a performance analysis device of a speed regulation system of a hydroelectric generating set, which comprises:

[0028] a monitoring unit configured to monitor the speed regulation system of the hydroelectric generating set to generate a target running data set and save the target running data set;

[0029] a determination unit configured to obtain all running data at a target time from the target running data set to generate a first running data set, and determine a target working condition corresponding to the speed regulation system of the hydroelectric generating set at the target time based on the first running data set;

[0030] a retrieval unit configured to retrieve all running data between a start time and an end time corresponding to the target working condition from the target running data set to generate a whole-process running data set corresponding to the target working condition;

[0031] an analysis unit configured to perform performance analysis in combination with the whole-process running data set corresponding to the target working condition to obtain a target performance state analysis result of the speed regulation system.

[0032] As an optional implementation of the embodiment of the present application, the monitoring unit is specifically configured to monitor the speed regulation system by sensors corresponding to different measuring points to generate an initial running data set, perform data format arrangement on the initial running data set to obtain the target running data set, and transmit the target running data set to a database for saving.

[0033] As an optional implementation of the embodiment of the present application, the monitoring unit is specifically configured to arrange the format of each data in the initial operation data set into data corresponding to a preset byte size, to generate the target operation data set; and transmit the target operation data set to a database for storage.

[0034] As an optional implementation of the embodiment of the present application, the calling unit is specifically configured to determine the start time and the end time corresponding to the target working condition from the target operation data set in combination with the performance characteristics corresponding to the target working condition.

[0035] As an optional implementation of the embodiment of the present application, the analysis unit is specifically configured to analyze whether each data in the whole-process operation data set is abnormal according to the whole-process operation data set corresponding to the target working condition, to generate a first performance state analysis result; call whole-process operation data corresponding to a historical working condition same as the target working condition and perform comparative analysis, to generate a second performance state analysis result; and generate the target performance state analysis result based on the first performance state analysis result and the second performance state analysis result.

[0036] As an optional implementation of the embodiment of the present application, the analysis unit is specifically configured to determine whether each data in the whole-process operation data set meets a corresponding preset range size; if not, perform fault diagnosis based on the whole-process operation data set, to generate the first performance state analysis result.

[0037] As an optional implementation of the embodiment of the present application, the analysis unit is specifically configured to call whole-process operation data corresponding to a historical working condition same as the target working condition, to analyze the state difference of the speed regulation system in the same working condition occurring at different times, to generate the second performance state analysis result.

[0038] In a third aspect, an electronic device is provided, including a memory and a processor, the memory is configured to store a computer program, and the processor is configured to, when executing the computer program, enable the electronic device to implement the performance analysis method of the speed regulation system of the hydro-generator unit according to any one of the above embodiments.

[0039] In a fourth aspect, a computer readable storage medium is provided, and the computer readable storage medium stores a computer program, when the computer program is executed by a computing device, the computing device is enabled to implement the performance analysis method of the speed regulation system of the hydro-generator unit according to any one of the above embodiments.

[0040] The performance analysis method of the speed regulation system of the hydroelectric generating set provided in the embodiments of the present application is specifically: data of the speed regulation system of the hydroelectric generating set is monitored to generate a target operation data set and save; all operation data at a target time is obtained from the target operation data set to generate a first operation data set, and based on the first operation data set, a target working condition corresponding to the speed regulation system of the hydroelectric generating set at the target time is determined; all operation data between a start time and an end time corresponding to the target working condition is retrieved from the target operation data set to generate a whole-process operation data set corresponding to the target working condition; and performance analysis is performed in combination with the whole-process operation data set corresponding to the target working condition to obtain a target performance state analysis result of the speed regulation system. Through all operation data at the target time, the embodiments of the present application first determine the target working condition corresponding to the speed regulation system of the hydroelectric generating set at the current target time, and then retrieve all operation data between the start time and the end time corresponding to the target working condition from the target operation data set to generate the whole-process operation data set corresponding to the target working condition. Finally, the target performance state analysis result of the speed regulation system is obtained through performance analysis in combination with the whole-process operation data set corresponding to the target working condition. Therefore, compared with the problem of only considering the isolated time point state in the prior art, the performance state of the speed regulation system of the hydroelectric generating set is more comprehensively evaluated through whole-process operation data analysis, and the safety, economy and reliability of the speed regulation system are improved. At the same time, the running state of the hydroelectric generating set is more accurately and reasonably mastered through the performance state of the speed regulation system of the hydroelectric generating set. BRIEF DESCRIPTION OF DRAWINGS

[0041] The accompanying drawings, which are incorporated into and form a part of the specification, illustrate an embodiment consistent with the present application and, together with the description, serve to explain the principles of the application.

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required to be called in the embodiments or the prior art description will be briefly introduced as follows. Obviously, for those skilled in the art, other drawings can also be obtained from these drawings without any creative labor.

[0043] Figure 1 One of the step flowcharts of the performance analysis method of the speed regulation system of the hydroelectric generating set provided in the embodiments of the present application;

[0044] Figure 2 One of the step flowcharts of the performance analysis method of the speed regulation system of the hydroelectric generating set provided in the embodiments of the present application;

[0045] Figure 3 The system framework schematic diagram corresponding to the performance analysis method of the speed regulation system of the hydroelectric generating set provided in the embodiments of the present application;

[0046] Figure 4 One of the example data graphs of the performance analysis method of the hydroelectric generating set speed regulation system provided in the embodiments of the present application;

[0047] Figure 5 Two of the example data graphs of the performance analysis method of the hydroelectric generating set speed regulation system provided in the embodiments of the present application;

[0048] Figure 6 Three of the example data graphs of the performance analysis method of the hydroelectric generating set speed regulation system provided in the embodiments of the present application;

[0049] Figure 7 The structural schematic diagram of the performance analysis device of the hydroelectric generating set speed regulation system provided in the embodiments of the present application;

[0050] Figure 8 The hardware structural schematic diagram of the electronic device provided in the embodiments of the present application. DETAILED DESCRIPTION

[0051] In order to more clearly understand the above-mentioned purpose, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0052] In the following description, many specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure can also be implemented in other ways different from those described herein; obviously, the embodiments in the description are only some of the embodiments of the present disclosure, not all the embodiments.

[0053] In the embodiments of the present application, the words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design presented as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or advantageous than other embodiments or design solutions. Rather, the use of the words such as "exemplary" or "for example" is intended to present concepts in a concrete manner. In addition, in the description of the embodiments of the present application, the meaning of "plurality" is two or more, unless otherwise specified.

[0054] It should be noted that in this document, the term "comprising" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or other elements inherent to such a process, method, article or device. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or device including the element.

[0055] The embodiment of the present application provides a performance analysis method of a hydroelectric generating set speed regulation system, referring to Figure 1 The performance analysis method of the hydroelectric generating set speed regulation system comprises the following steps S101-S104:

[0056] S101, data monitoring is performed on the speed regulation system of the hydroelectric generating set to generate a target operation data set and save.

[0057] It should be noted that the target operation data set comprises a plurality of operation data of the speed regulation system of the hydroelectric generating set at the same time, and the main data can include: guide vane opening, locking position data, start instruction state data, hydroelectric generating set frequency data, oil switch state data, start state data, active power data, stop instruction state data and other data related to the hydroelectric generating set, and further comprises the operating state data of the speed regulator in the speed regulation system of the hydroelectric generating set; and then, by using the plurality of operation data of the speed regulation system of the hydroelectric generating set, the working condition of the speed regulation system of the current hydroelectric generating set is analyzed, and a target performance state analysis result of the speed regulation system of the hydroelectric generating set is further obtained.

[0058] Specifically, the hydroelectric generating set refers to a generator that converts water energy into electric energy by using a water turbine as a prime mover. When water flows through the water turbine, water energy is converted into mechanical energy, and the rotating shaft of the water turbine drives the rotor of the generator to convert mechanical energy into electric energy and output, which is the main power equipment set of the hydropower station for producing electric energy. During the operation of the hydroelectric generating set, the change of load will cause the fluctuation of the rotating speed of the set, in order to ensure the normal operation of the water turbine and thus ensure the normal and stable operation of the hydropower station, the hydroelectric generator is often configured with a corresponding speed regulation system to rapidly adjust the water inflow of the water turbine, thereby changing the output power of the water turbine, so that the rotating speed of the set is maintained in a stable range near the rated value.

[0059] Specifically, in the speed regulation system of the hydroelectric generating set, the speed regulator plays a crucial role; according to the increasing and decreasing trend of the load of the hydroelectric generator, the flow entering the water turbine is adjusted, so that the output of the water turbine can adapt to the external load, and the rotating speed can be stably maintained within the rated value range, so as to ensure that the frequency (f=50Hz) does not change or changes within the allowable range.

[0060] Further, in the operation of the hydropower station, to ensure that the water turbine set can operate normally, it is necessary to ensure that the functions of the governor can normally play a role. Based on this, the embodiments of the application obtain the data related to the speed regulation system of the water turbine generator set in the operation process of the water turbine generator set, that is, the target operation data set, to analyze and summarize the performance state of the speed regulation system of the water turbine generator set through the target operation data set, and further more comprehensively master the operation state of the water turbine set.

[0061] S102, all operation data at the target time are obtained from the target operation data set to generate a first operation data set, and based on the first operation data set, a target working condition corresponding to the water turbine generator set speed regulation system at the target time is determined.

[0062] In some embodiments, all operation data of the water turbine generator set from the time when the current water turbine generator set speed regulation system is put into use to the current time are included in the target operation data set; further, when the operation state of the water turbine generator set at a certain time is needed to be viewed, all operation data at the time can be found from the target operation data set to generate a corresponding operation data set at the time, that is, the first operation data set.

[0063] After the first operation data set corresponding to the target time is obtained, the target working condition of the water turbine generator set at the target time can be determined according to each operation data in the first data set, and further, the current target working condition is analyzed in combination with the national standard provisions, expert experience values and the like corresponding to the multiple operation data at the target working condition, to judge whether the operation state of the speed regulation system of the current water turbine generator set at the target working condition meets the requirements, and further more purposefully adjust the parameters corresponding to the speed regulation system of the water turbine generator set to make the speed regulation system of the water turbine generator set play the best performance.

[0064] Specifically, the working conditions corresponding to the speed regulation system of the water turbine generator set specifically include: a shutdown standby working condition, a startup process working condition, an empty load stable working condition, an empty load disturbance experiment working condition, a grid connection process working condition, a load stable working condition, an increasing (decreasing) load working condition, a small load shedding working condition, a large load shedding working condition, a normal splitting working condition, a normal shutdown working condition and an emergency shutdown working condition. The judgment criteria of the 12 working conditions can be referred to Table 1 as shown below.

[0065] Table 1

[0066]

[0067] Among them: fault alarm = 0 indicates that there is no fault alarm signal of the governor and the monitoring system; **load t0- indicates the actual load value before the oil switch jumps.

[0068] According to the determination criteria in Table 1 above, in combination with the plurality of data in the first operation data set, it is determined that the working condition of the governing system of the hydroelectric generating set at the current target time belongs to one of the 12 kinds of working conditions, and then the corresponding target working condition of the governing system of the hydroelectric generating set at the target time is determined.

[0069] S103, all operation data between the start time and the end time corresponding to the target working condition are retrieved from the target operation data set to generate a whole-process operation data set corresponding to the target working condition.

[0070] Specifically, after determining the target working condition of the governing system of the hydroelectric generating set at the target time based on the above step S102, in combination with the historical experience value corresponding to the target working condition, the start time and the end time corresponding to the target working condition are determined from the target operation data set, and then all operation data between the start time and the end time corresponding to the target working condition are retrieved from the target operation data set to generate a whole-process operation data set corresponding to the target working condition.

[0071] Further, the whole-process operation data set corresponding to the target working condition is obtained from the whole process of the target working condition, the running state of the governing system of the hydroelectric generating set is analyzed through the whole-process operation data set, the overall situation of the hydroelectric generating set is further understood, and the running working condition of the hydroelectric generating set is further correctly and reasonably evaluated.

[0072] S104, performance analysis is performed in combination with the whole-process operation data set corresponding to the target working condition to obtain a target performance state analysis result of the governing system.

[0073] Specifically, when performing performance analysis on the hydroelectric generating set according to the whole-process operation data set corresponding to the target working condition, the following steps one to three can be referred to:

[0074] Step one, according to the whole-process operation data set corresponding to the target working condition, whether each data in the whole-process operation data set is abnormal is analyzed to generate a first performance state analysis result.

[0075] Specifically, after obtaining the whole-process operation data set corresponding to the target working condition, the transverse comparison method in step one and the longitudinal comparison method in step two are adopted to analyze from the two aspects respectively, and then the first performance state analysis result and the second performance state analysis result are obtained, which can also be called transverse analysis result and longitudinal analysis result; so that the performance of the governing system of the hydroelectric generating set under the current target working condition is analyzed more comprehensively.

[0076] It should be noted that the transverse comparison method refers to simply analyzing whether the state of the speed regulation system in the target working condition meets the actual demand. Its judgment method is usually to compare the performance index value calculated by some data in the whole process running data of this working condition with the normal threshold value (i.e. the corresponding national standard, expert experience value), and further determine whether the corresponding performance index value meets the requirements. If the performance index value exceeds the allowed range, this working condition will be identified as an abnormal event, and further fault diagnosis of the current speed regulation system is needed to generate the corresponding first performance analysis result.

[0077] Step two, retrieve the whole process running data corresponding to the historical working condition same as the target working condition, and perform comparative analysis to generate the second performance state analysis result.

[0078] It should be noted that the longitudinal comparison method is to retrieve the records of the same working condition occurring at different times, and then compare the differences of the multiple running data of the speed regulation system in the same working condition to analyze the differences of the running data in the same working condition, generate the second performance state analysis result, and fully grasp the performance development trend of the speed regulation system of the hydroelectric generating set, so as to judge whether the speed regulation system exists equipment performance degradation, and guide the direction and focus of analysis and diagnosis by finding the differences of the speed regulation system state of the same working condition occurring at different times.

[0079] Step three, based on the first performance state analysis result and the second performance state analysis result, generate the target performance state analysis result.

[0080] In some embodiments, the first performance state analysis result can include the abnormal running data in the target working condition and the result of whether fault diagnosis is needed, and the second performance state analysis result can include the comparison result of the target working condition and the historical same working condition, and further based on the first performance state analysis result and the second performance state analysis result, the target performance state analysis result is generated, and then the target performance state analysis result can be given to the operation and maintenance personnel, so that the operation and maintenance personnel understand the performance state of the speed regulation system in the target working condition, and more fully grasp the performance development trend of the speed regulation system of the hydroelectric generating set, so as to judge whether the speed regulation system exists equipment performance degradation, and guide the direction and focus of analysis and diagnosis by finding the differences of the speed regulation system state of the same working condition occurring at different times.

[0081] The performance analysis method of the speed regulation system of the hydroelectric generating set provided in the embodiments of the present application is specifically: data of the speed regulation system of the hydroelectric generating set is monitored to generate a target operation data set and save; all operation data at a target time is obtained from the target operation data set to generate a first operation data set, and based on the first operation data set, a target working condition corresponding to the speed regulation system of the hydroelectric generating set at the target time is determined; all operation data between a start time and an end time corresponding to the target working condition is retrieved from the target operation data set to generate a whole-process operation data set corresponding to the target working condition; and performance analysis is performed in combination with the whole-process operation data set corresponding to the target working condition to obtain a target performance state analysis result of the speed regulation system. In the embodiments of the present application, all operation data at the target time is determined first to determine the target working condition of the speed regulation system of the hydroelectric generating set at the target time, and then all operation data between the start time and the end time corresponding to the target working condition is retrieved from the target operation data set to generate the whole-process operation data set corresponding to the target working condition. Finally, the performance analysis is performed in combination with the whole-process operation data set corresponding to the target working condition to obtain the target performance state analysis result of the speed regulation system. Therefore, compared with the prior art which only considers the state of an isolated time point, the performance state of the speed regulation system of the hydroelectric generating set is more comprehensively evaluated through whole-process operation data analysis, and the safety, economy and reliability of the speed regulation system are improved. At the same time, the running state of the hydroelectric generating set is more accurately and reasonably mastered through the performance state of the speed regulation system of the hydroelectric generating set.

[0082] As an extension and refinement of the above embodiments, referring to FIG. 2, the embodiments of the present application also provide another performance analysis method of a speed regulation system of a hydroelectric generating set, which specifically includes the following steps S201 to S207: Figure 2

[0083] S201, data of the speed regulation system is monitored by sensors corresponding to different measuring points to generate an initial operation data set.

[0084] The initial operation data set includes a plurality of initial operation data of the hydroelectric generating set at the same time and a plurality of initial operation data of the speed regulator.

[0085] In some embodiments, the speed regulator can be monitored by sensors corresponding to a plurality of points in the speed regulation system of the hydroelectric generating set to obtain a plurality of initial operation data of the speed regulator, and then the initial operation data set is generated in combination with initial operation data of the hydroelectric generating set.

[0086] It should be noted that the initial operation data of the hydroelectric generating set can also be collected by sensors arranged at a plurality of measuring points.​

[0087] S202, data format of the initial operation data set is arranged, the target operation data set is obtained, and the target operation data set is transmitted to a database for storage.

[0088] It should be noted that the plurality of operation data corresponding to the hydroelectric generating set and the governor in the target operation data set exist in the form of state quantity or analog quantity. In order to facilitate subsequent data transmission, the initial operation data set can be arranged in data format, and then converted into data of the same format, which can improve the transmission efficiency to a certain extent. The relatively small data quantity can reduce the transmission time and bandwidth occupation, especially in a system with high real-time requirement, the state quantity and analog quantity data can be transmitted to the receiving end for processing more quickly. At the same time, the small data quantity is also conducive to reducing the error rate in the data transmission process and improving the reliability of the data.

[0089] Therefore, the specific implementation steps of the data monitoring on the speed regulation system of the hydroelectric generating set in the embodiment of the present application to generate the target operation data set and save include the following steps 1 and 2:

[0090] Step 1, the format of each data in the initial operation data set is arranged to the data corresponding to the preset byte size, to generate the target operation data set.

[0091] In some embodiments, each state quantity and analog quantity in the target operation data set can be arranged to data of a preset byte size, for example, can be converted to data of 2 bytes; wherein: the transmission of the analog quantity is obtained by converting 16-bit binary number to decimal integer, and the data containing decimal place is multiplied (for example, the analog quantity 50.05 is transmitted in the form of 5005 binary), the data precision is improved, the initial operation data is obtained after the analog quantity data is converted, and the initial operation data is obtained; the transmission of the state quantity is determined by a certain bit binary number (such as 0 / 1 conversion, which indicates the conversion of the state quantity), 2 bytes can store up to 16 state quantities, saving data transmission quantity, and ensuring that the data can be efficiently transmitted.

[0092] Step 2, the target operation data set is transmitted to the database for storage.

[0093] Specifically, after obtaining the target operation data set, in order to trace and search the data subsequently, the target operation data set needs to be transmitted to the database for storage. It should be noted that the target operation data set can be transmitted to the corresponding data server for storage.

[0094] S203. Acquire all operating data at a target moment from the target operating data set to generate a first operating data set, and determine a target operating condition corresponding to the speed regulating system of the hydro-generator set at the target moment based on the first operating data set.

[0095] S204 , retrieving all operation data between the start time and the end time corresponding to the target operating condition from the target operating data set, and generating a full-process operation data set corresponding to the target operating condition.

[0096] S205 . Analyze whether each data in the full-process operation data set corresponding to the target operating condition is abnormal, so as to generate a first performance status analysis result.

[0097] In some embodiments, the specific implementation method of analyzing whether each data in the full-process operation data set corresponding to the target operating condition is abnormal may include the following steps A and B:

[0098] Step A: Determine whether each data in the full-process operation data set meets the corresponding preset range size.

[0099] Specifically, the full-process operating data involved in this working condition, especially the performance index values ​​calculated through certain data in the full-process operating data, can be compared with the normal threshold value (i.e., the corresponding national standard regulations, expert experience value), and then it can be determined whether the corresponding performance index value meets the requirements.

[0100] Step B: If not, perform fault diagnosis based on the full-process operation data set to generate the first performance status analysis result.

[0101] Then, when there is a performance indicator value that is not within the corresponding preset range, the current working condition will be identified as an abnormal event, and then corresponding fault diagnosis is required for the current speed control system to generate the corresponding first performance analysis result.

[0102] S206 , retrieving the full-process operation data corresponding to the historical operating condition that is the same as the target operating condition, and performing comparative analysis to generate a second performance status analysis result.

[0103] In some embodiments, the specific steps of retrieving full-process operation data corresponding to historical operating conditions that are the same as the target operating condition and performing comparative analysis to generate a second performance status analysis result include the following:

[0104] The whole process operation data corresponding to the historical operating condition that is the same as the target operating condition is retrieved to analyze the state difference of the speed control system when the same operating condition occurs at different times, so as to generate the second performance state analysis result.

[0105] Specifically, the records of the same working condition occurring at different times can be called out, and then the differences of the multiple operating data of the speed regulation system under the same working condition are compared based on the overall multiple same working conditions of the speed regulation system, to analyze the differences of the operating data under the same working condition, generate the second performance state analysis result, and fully grasp the performance development trend of the speed regulation system of the hydroelectric generating set, so as to judge whether the speed regulation system exists equipment performance degradation, and guide the direction and focus of analysis and diagnosis by finding the state difference of the speed regulation system under the same working condition occurring at different times.

[0106] S207, based on the first performance state analysis result and the second performance state analysis result, generating the target performance state analysis result.

[0107] As an extension and refinement of the above embodiment, the specific implementation mode of the step S104 of performing performance analysis on the full-process operating data set corresponding to the target working condition to obtain the target performance state analysis result of the speed regulation system can refer to the following analysis process. The following provides eight working condition corresponding analysis processes, and other working conditions can be analyzed according to actual conditions, which is not limited in the present application.

[0108] Working condition one: when the target working condition is the shutdown standby working condition, whether each data related to the hydraulic system of the speed regulator is consistent with the shutdown standby working condition and whether it is ready to start is mainly determined from the target operating data set. In addition, in the shutdown standby working condition, the speed regulator hydraulic system is in a static state, and the oil quantity calculation and oil leakage analysis, air leakage and oil leakage quantity analysis (oil pressure drop speed, pressure tank oil level drop speed) of the unit oil system can be performed according to the pressure tank oil level.

[0109] Working condition two: when the target working condition is the start-up process working condition, the performance of the equipment and the speed regulation system is mainly analyzed, and the health status of the speed regulation system equipment is predicted. Starting from investigating whether the speed regulator control strategy is fast and stable, the following two indexes are analyzed:

[0110] Index 1: according to the unit frequency process data, the maximum frequency is measured. If the maximum frequency is greater than the rated frequency, the actual overshoot is calculated, otherwise the overshoot is equal to zero. The calculation formula is the absolute value of the difference between the maximum (or minimum) value of the frequency f m1 and the given value f g1 , and the ratio of the frequency steady-state amount f w1 is as follows:

[0111]

[0112] Wherein, the frequency overshoot amount is an important parameter reflecting the control strategy of the governor, and a governor with excellent performance can start up in a short time and has little or no frequency overshoot, so the size of the frequency overshoot amount can reflect the control strategy of the governor.

[0113] Index 2: the time of starting up and grid-connection, that is, the time experienced from receiving the starting-up order by the governor to completing the grid-connection of the circuit breaker.

[0114] Δt = t e -t s

[0115] Wherein, t e is the closing order trigger time, and t s is the starting-up order trigger time.

[0116] After obtaining the time of this starting-up and grid-connection, the time is compared with the previous time values to determine the time error, and finally whether the time of starting-up and grid-connection is slower is determined according to the comparison results of more than three times. If the time error is negative, that is, the starting-up process is faster, it can be determined that the water head and the starting-up opening degree do not correspond; if the time error is positive, that is, the starting-up process is slower, the reasons mainly include that the water head and the starting-up opening degree do not correspond, the efficiency of the hydraulic turbine is reduced, the hydraulic system is blocked, and the feedback is incorrect, and other states need to be analyzed.

[0117] Case three: when the target working condition is the no-load stable working condition, the time of no-load stable operation during the operation of the unit is short, but the no-load stability relates to whether the unit can be quickly and smoothly connected to the grid. The analysis and calculation of the stability of the unit under the no-load stable working condition mainly involve the following two performance indexes:

[0118] Index 1: the maximum value of frequency fluctuation, that is, the frequency fluctuation after monitoring the no-load working condition, the maximum frequency point is found, and the specific formula is as follows:

[0119] f m = max{f i}(i = 1, 2, …, n)

[0120] Wherein, i is the sampling time of the no-load working condition, and f i is the frequency value corresponding to the sampling time.

[0121] Index 2: the time of governor adjustment inactivity, that is, after the unit starts up, the difference between the guide vane automatic control setting (PID) and the guide vane opening degree feedback is greater than 0.2% to start timing, and the time from when the guide vane starts to act and changes more than 0.1% to end is determined as the time of adjustment inactivity. After the time exceeds the set inactivity time value, the inactivity time overtime information is sent.

[0122] Δt = t2 - t1

[0123] wherein, t1 = min{t i ||y ni -y i |>0.02}(i = 1, 2, …, n), that is, the time when the difference between the guide vane automatic control given (PID) and the guide vane opening feedback is greater than 0.2%; t2 = min{t i |Δy i >0.1%}(i = 1, 2, …, n), that is, the time when the guide vane starts to change more than 0.1%.

[0124] Case four: when the target working condition is a load stable working condition, the index reflecting its performance is mainly the governor zero drift. Specifically, the governor zero drift is mainly that after the guide vane is opened, no adjustment instruction is received, the main pressure regulating valve appears continuous unidirectional change in a period of time, and exceeds 0.5% of the set threshold, which is judged as zero drift, and a zero drift alarm is issued. That is, the condition is met:

[0125]

[0126] wherein, y is a set threshold, y k is a zero drift.

[0127] Case five: when the target working condition is load adjustment, the speed of adding and subtracting load and the overshoot of adding and subtracting load need to be analyzed and calculated, so as to investigate the speed and stability of the servo system. The main performance index is the load decay degree, and the decay degree is the ratio of the second speed deviation peak value with the same sign as the initial deviation to the initial deviation peak value, and the calculation formula is as follows:

[0128]

[0129] wherein, x(t) is the peak value of speed fluctuation, and x(t2) is the second peak value.

[0130] Case six: when the target working condition is primary frequency modulation, since the primary frequency modulation is the basic function of the speed regulating system of the hydroelectric generator set, the main indexes involved include the primary frequency modulation integral electric quantity and the primary frequency modulation qualified rate, which are as follows:

[0131] Index 1: primary frequency modulation integral electric quantity, which can be calculated by superimposing the unit time change amount of the unit within the time when the frequency of the unit exceeds the dead zone and the time when the primary frequency modulation is put into operation to the time when the primary frequency modulation is exited:

[0132] Q sJ = ∫(P - P0)dt

[0133] Wherein, P is the real-time power of the unit after the first frequency modulation action, P0 is the power of the unit at the beginning of the first frequency modulation action, and the integral electric quantity is the integral of the difference between the two over time.

[0134] Index 2: The first frequency modulation qualified rate, that is, when the frequency deviation of the power grid exceeds the dead zone of the first frequency modulation of the water turbine regulation system, the integral electric quantity (Q JS ) of the first frequency modulation unit accounts for the proportion of the corresponding time of the theoretical calculation integral electric quantity (Q JS ) of the unit first frequency modulation as the qualified rate G Hi of the first frequency modulation of the unit, that is, G Hi =Q SJ / Q JS . The theoretical integral electric quantity of the unit first frequency modulation is the sum of the theoretical power change value corresponding to the frequency change in the corresponding period when the frequency deviation of the power grid exceeds the first frequency modulation dead zone, and the calculation formula is:

[0135]

[0136] It should be noted that the calculation method of ΔP(Δf,t) refers to the following formula:

[0137]

[0138] Wherein, Δf(t) is the frequency deviation; P n is the rated active power of the unit; f n is the rated frequency; e p is the water turbine regulation system regulation rate; t is the integral interval time, which can be taken as 1 second; and n is the integral calculation time.

[0139] Working condition seven: when the target working condition is the no-load frequency disturbance, the speed governor no-load frequency disturbance can test the response speed and regulation performance of the speed governor under the sudden change of the frequency given, which is mainly characterized by the following index quantities:

[0140] The frequency overshoot, that is, the absolute value of the difference between the maximum value (or minimum value) f m2 of the frequency reached in the frequency regulation process and the given value f g2 and the ratio of the frequency steady-state value f w2 . The calculation formula is as follows:

[0141]

[0142] Case eight: when the target case is the load rejection case, in the load rejection process, in addition to adjusting the maximum speed rise value and the maximum water pressure rise value, the dynamic quality index of the load rejection is also evaluated. The transition process of the hydroelectric generating set after 100% rated load rejection is an important basis for evaluating the dynamic quality of the hydroelectric generator. The main indexes involved include: the maximum frequency, the frequency regulation time of the unit, the fluctuation times, and the inflection point and time, as follows:

[0143] Index 1: the maximum frequency, that is, the maximum value of the frequency rise of the unit after the load rejection case starts.

[0144] F max = max{f i}(i = 1, 2, …, n)

[0145] Index 2: the frequency regulation time of the unit, that is, the time used from the moment of load rejection to the time when the frequency of the unit is stable around the rated frequency. In actual engineering, the end point of the regulation time can be calculated by the difference between the relative value of the frequency deviation and the balance state value falling within the error bandwidth Δ value. It reflects the regulation stability of the speed regulation system.

[0146] Δt = t1-t0

[0147] t1 = min{t i ||t i -50|<2%}(i = 1, …, n)

[0148] Wherein, t0 is the moment when the load rejection case starts, and t1 is the moment when the frequency deviation of the unit is less than ±2%.

[0149] Index 3: the fluctuation times, that is, the number of wave peaks of the frequency of the unit exceeding 50 Hz. Whether it is a wave peak is determined according to the following conditions.

[0150]

[0151] The number of frequency values meeting the above conditions is the fluctuation times.

[0152] Index 4: the inflection point and time, that is, according to the closing speed of the guide vane to determine which section of the closing process the guide vane is in, and according to the speed change to determine the inflection point, and further determine the closing time of each section. In specific application, the opening difference value of the adjacent two time points is usually selected to determine the inflection point.

[0153] t i ,|Δy i-1 -Δy i |>2%

[0154] Wherein, Δy iThe difference between the opening values of two adjacent time points, when the deviation of the current and previous two difference values exceeds ±2%, is the inflection point t i .

[0155] After obtaining the inflection point, the guide vane closing speed can be calculated. The first segment of the guide vane closing speed is:

[0156]

[0157] Wherein, y0 is the guide vane opening value before load rejection; y1 is the guide vane opening value at the first closing inflection point; Δt is the time for the guide vane to close from y0 opening to y1 opening.

[0158] The third segment of the guide vane closing speed is:

[0159]

[0160] Wherein, y2 is the guide vane opening value at the second closing inflection point; Δt is the time for the guide vane to close from y2 opening to the end.

[0161] As an extension and refinement of the above-mentioned embodiments, the embodiments of the present application also provide a system framework diagram corresponding to performance analysis of a hydroelectric generating set speed regulation system, as shown in Figure 3 , which comprises a field station level monitoring system 31, a data server 32 and a PAC (programmable automation controller) 33.

[0162] Specifically, the field station level monitoring system 31 is used for data monitoring of the speed regulation system of the hydroelectric generating set; then the initial operation data set monitored is transmitted to the data server 32, the data server 32 performs data format arrangement on the initial operation data set, obtains the target operation data set, and transmits the target operation data set to the database in the data server for saving, and then transmits the target operation data set to the PAC (programmable automation controller) 33, and the PAC (programmable automation controller) 33 performs performance analysis on the target working condition corresponding full-process operation data set, to obtain the target performance state analysis result of the speed regulation system.

[0163] Among them, the function package of PAC (programmable automation controller) 331 analyzes and processes the collected data, and calculates various performance indicators such as efficiency, power factor, vibration amplitude, etc. These indicators can help operators understand the operation performance of the unit, discover potential problems in time, and take appropriate measures for optimization and improvement. It can realize accurate control of the unit, data acquisition and monitoring, fault diagnosis, communication and networking, etc., improve the operation efficiency and reliability of the unit, and provide strong guarantee for the safe and stable operation of the hydropower station.

[0164] Based on all the above examples, a certain regional hydropower station is selected as the basis, and the operation data of the No. 4 hydro-generator unit of the hydropower station in some period is selected for working condition recognition and dynamic performance analysis.

[0165] First, select a set of operation data in a certain period to obtain the operation data in that period. Some initial operation data is shown in Table 2. The time stamp is the number of seconds elapsed from January 1, 1970 (midnight of UTC / GMT), which can be converted into a readable date and time format. The unit frequency, active power, and guide vane opening of the hydro-generator unit are represented by 2-byte data. The start command state and circuit breaker closing command state are represented by state quantity 0 / 1, with 1 indicating that the command is issued. The start command is located in the first bit, and the circuit breaker closing command is located in the zeroth bit.

[0166] Table 2: Partial initial operation data of the selected unit period

[0167]

[0168] Then, the data is converted accordingly, and the target operation data is obtained as shown in Table 3:

[0169] Table 3: Partial target operation data of the selected unit period

[0170]

[0171] According to the data, the unit start command at 15:45:06 = 1. According to the working condition judgment criteria shown in Table 1, the unit executed the start operation at 15:45:06, and the circuit breaker closing was completed at 15:52:25, and the start process ended. The unit completed the complete start-up working condition in that period. In addition, during the selected period, the data did not meet the conditions of other working condition discrimination, and no other working condition was generated.

[0172] According to the above conclusion, the start-up working condition dynamic performance analysis of the selected period can be performed:

[0173] Specifically, according to the judgment result and the judgment standard, the start-up working condition start and end time is obtained as 15:45:06 to 15:52:25. Then, all the unit frequency, active power, and guide vane opening data in that period are obtained from the target operation data, and the data variation is plotted as shown in Figure 5-Figure 7 , and the dynamic performance analysis is performed in combination with the figure and data.

[0174] Firstly, according to the figure, after receiving the start-up order, the guide vane opening degree increases at a constant speed according to the predetermined opening rule, and the unit frequency also increases. The guide vane opening degree finally reaches the maximum no-load opening degree of 20% and remains unchanged, when the unit frequency reaches about 90% of the rated frequency, the guide vane opening degree starts to decrease at a certain rate and stabilizes again at about 17.75%, when the unit frequency reaches about 95% of the rated frequency, the PID is put into operation, and the frequency finally reaches 50Hz. After a period of stabilization, the breaker closing order is issued, the unit is connected to the grid, the opening degree is increased, the active power is gradually increased, and the start-up working condition is ended.

[0175] Next, the start-up working condition index calculation is described as follows:

[0176] (1) Frequency overshoot: According to the unit frequency process data, the maximum value of the frequency is 50.07Hz, which is greater than the rated frequency, and the actual overshoot needs to be calculated. The calculation formula is the ratio of the absolute value of the difference between the maximum value f m1 of the frequency and the given value f g1 and the frequency steady-state value f w1 .

[0177]

[0178] (2) Start-up grid-connection time: the time from receiving the start-up order by the governor to completing the grid-connection by the breaker closing.

[0179] Δt=t e -t s =439s

[0180] Among them, the size of the overshoot and the length of the start-up grid-connection time are important parameters reflecting the control strategy of the governor. A good governor should be able to start up in a short time, and the overshoot is small or there is no overshoot. According to the calculation results, the overshoot in this start-up process is small, and the start-up time is within the normal range, the start-up working condition is normal and the control strategy is good.

[0181] Based on the same inventive concept, as an implementation of the above method, an embodiment of the present application also provides a performance analysis device of a hydroelectric generator set speed regulation system. The embodiment corresponds to the foregoing method embodiment, and for the sake of readability, the details of the foregoing method embodiment will not be described one by one, but it should be clear that the performance analysis device of the hydroelectric generator set speed regulation system in the embodiment can correspondingly implement all the contents in the foregoing method embodiment.

[0182] The embodiment of the present application provides a performance analysis device of a hydroelectric generator set speed regulation system, Figure 7 a structural schematic diagram of the performance analysis device of the hydroelectric generator set speed regulation system, as Figure 7As shown, the performance analysis device 700 of the hydroelectric generating set speed regulation system includes:

[0183] A monitoring unit 701 is configured to monitor data of the speed regulation system of the hydroelectric generating set to generate a target operation data set and save the target operation data set;

[0184] A determination unit 702 is configured to obtain all operation data at a target time from the target operation data set to generate a first operation data set, and determine a target working condition corresponding to the speed regulation system of the hydroelectric generating set at the target time based on the first operation data set;

[0185] A calling unit 703 is configured to call all operation data between a start time and an end time corresponding to the target working condition from the target operation data set to generate a whole-process operation data set corresponding to the target working condition;

[0186] An analysis unit 704 is configured to perform performance analysis on the whole-process operation data set corresponding to the target working condition to obtain a target performance state analysis result of the speed regulation system.

[0187] As an optional implementation of the embodiment, the monitoring unit 701 is specifically configured to monitor data of the speed regulation system by sensors corresponding to different measuring points to generate an initial operation data set, perform data format arrangement on the initial operation data set to obtain the target operation data set, and transmit the target operation data set to a database for saving.

[0188] As an optional implementation of the embodiment, the monitoring unit 701 is specifically configured to arrange a format of each data in the initial operation data set into data corresponding to a preset byte size to generate the target operation data set, and transmit the target operation data set to the database for saving.

[0189] As an optional implementation of the embodiment, the calling unit 703 is specifically configured to determine the start time and the end time corresponding to the target working condition from the target operation data set in combination with performance characteristics corresponding to the target working condition.

[0190] As an optional implementation of the embodiment, the analysis unit 704 is specifically configured to analyze whether each data in the whole-process operation data set corresponding to the target working condition is abnormal according to the whole-process operation data set to generate a first performance state analysis result, call whole-process operation data corresponding to a historical working condition same as the target working condition and perform comparative analysis to generate a second performance state analysis result, and generate the target performance state analysis result based on the first performance state analysis result and the second performance state analysis result.

[0191] As an optional implementation of the embodiment of the present application, the analysis unit 704 is specifically configured to determine whether each data in the whole-process operation data set meets a corresponding preset range size; if not, perform fault diagnosis based on the whole-process operation data set to generate the first performance state analysis result.

[0192] As an optional implementation of the embodiment of the present application, the analysis unit 704 is specifically configured to retrieve whole-process operation data corresponding to a historical working condition same as the target working condition, to analyze state differences of the speed regulation system in the same working condition occurring at different times, to generate the second performance state analysis result.

[0193] Based on the same inventive concept, the embodiment of the present application further provides an electronic device. Figure 8 As shown in the structural schematic diagram of the electronic device provided by the embodiment of the present application, Figure 8 the electronic device provided by the embodiment of the present application comprises a memory 801 and a processor 802, the memory 801 is configured to store a computer program, and the processor 802 is configured to execute the computer program to perform the performance analysis method of the hydro-generator set speed regulation system provided by the above-mentioned embodiment.

[0194] Based on the same inventive concept, the embodiment of the present application further provides a computer readable storage medium, and the computer readable storage medium stores a computer program, when the computer program is executed by a processor, the computer equipment implements the performance analysis method of the hydro-generator set speed regulation system provided by the above-mentioned embodiment.

[0195] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can adopt a completely hardware embodiment, a completely software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can adopt a computer program product in the form of being implemented on one or more computer readable storage media containing computer usable program codes.

[0196] The processor can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0197] Memory can include non-persistent memory, Random Access Memory (RAM), and / or non-volatile memory, such as read only memory (ROM) or flash memory, in a computer readable medium. Memory is an example of computer readable media.

[0198] Computer readable media includes permanent and non-permanent, removable and non-removable media, which can be implemented by any method or technology for storing information, which can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technologies, compact disc read only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device. According to the definition herein, computer readable media does not include transitory media, such as modulated data signals and carrier waves.

[0199] 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 foregoing embodiments, those skilled in the art should understand: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A performance analysis method for a hydro-generator speed control system, characterized in that: include: Monitor the speed control system of the hydro-generator set to generate and save the target operation data set; Acquiring all operating data at a target time from the target operating data set to generate a first operating data set, and determining a target operating condition corresponding to the speed regulating system of the hydro-generator set at the target time based on the first operating data set; Retrieving all operating data between the start time and the end time corresponding to the target operating condition from the target operating data set to generate a full-process operating data set corresponding to the target operating condition; Performing performance analysis based on the full-process operation data set corresponding to the target operating condition to obtain a target performance state analysis result of the speed control system; The performing of performance analysis on the full-process operation data set corresponding to the target operating condition to obtain the target performance state analysis result of the speed control system includes: analyzing, based on the full-process operation data set corresponding to the target operating condition, whether each data in the full-process operation data set is abnormal, so as to generate a first performance status analysis result; Retrieving full-process operation data corresponding to historical operating conditions identical to the target operating condition, and performing comparative analysis to generate a second performance status analysis result; generating the target performance status analysis result based on the first performance status analysis result and the second performance status analysis result; The step of analyzing whether each data in the full-process operation data set corresponding to the target operating condition is abnormal based on the full-process operation data set to generate a first performance status analysis result includes: Determine whether each data in the full-process operation data set meets the corresponding preset range size; If not, performing fault diagnosis based on the full-process operation data set to generate the first performance status analysis result; The retrieving the full-process operation data corresponding to the historical operating condition identical to the target operating condition and performing comparative analysis to generate a second performance status analysis result includes: The whole process operation data corresponding to the historical operating condition that is the same as the target operating condition is retrieved to analyze the state difference of the speed control system when the same operating condition occurs at different times, so as to generate the second performance state analysis result.

2. The method according to claim 1, characterized in that The data monitoring of the speed control system of the hydro-generator set to generate and save a target operation data set includes: Performing data monitoring on the speed control system through sensors corresponding to different measuring points to generate an initial operation data set; The initial operating data set is formatted to obtain the target operating data set, and the target operating data set is transferred to a database for storage.

3. The method according to claim 2, characterized in that The step of arranging the initial operating data set into a data format, obtaining the target operating data set, and transferring the target operating data set to a database for storage includes: Arrange the format of each data in the initial operation data set into data corresponding to a preset byte size to generate the target operation data set; The target operation data set is transferred to a database for storage.

4. The method according to claim 1, wherein Before retrieving all operating data between the start time and the end time corresponding to the target operating condition from the target operating data set to generate the full-process operating data set corresponding to the target operating condition, the method further includes: In combination with the performance characteristics corresponding to the target operating condition, the start time and the end time corresponding to the target operating condition are determined from the target operation data set.

5. A performance analysis device for a hydro-generator speed control system, characterized in that: include: A monitoring unit is used to monitor the speed control system of the hydro-generator set to generate and save target operation data sets; a determining unit, configured to obtain all operating data at a target moment from the target operating data set to generate a first operating data set, and determine a target operating condition corresponding to the speed regulating system of the hydro-generator set at the target moment based on the first operating data set; a retrieving unit, configured to retrieve all operating data between a start time and an end time corresponding to the target operating condition from the target operating data set, and generate a full-process operating data set corresponding to the target operating condition; An analysis unit, configured to perform performance analysis based on a full-process operation data set corresponding to the target operating condition, and obtain a target performance state analysis result of the speed control system; The analysis unit is specifically configured to analyze whether each data in the full-process operation data set corresponding to the target operating condition is abnormal, so as to generate a first performance status analysis result; Retrieving full-process operation data corresponding to historical operating conditions identical to the target operating condition, and performing comparative analysis to generate a second performance status analysis result; generating the target performance status analysis result based on the first performance status analysis result and the second performance status analysis result; Determine whether each data in the full-process operation data set meets the corresponding preset range size; If not, performing fault diagnosis based on the full-process operation data set to generate the first performance status analysis result; The whole process operation data corresponding to the historical operating condition that is the same as the target operating condition is retrieved to analyze the state difference of the speed control system when the same operating condition occurs at different times, so as to generate the second performance state analysis result.

6. An electronic device, characterized in that: include: A memory and a processor, wherein the memory is used to store a computer program; and the processor is used to enable the electronic device to implement the performance analysis method of the hydro-generator speed control system according to any one of claims 1 to 4 when executing the computer program.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a computing device, the computing device implements the performance analysis method of the hydro-generator speed control system according to any one of claims 1 to 4.

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