Artificial comparison data processing method and device for hydropower station dam and electronic equipment

Abstract

The invention provides a manual comparison data processing method and device for a hydropower station dam and electronic equipment, and the method comprises the steps: obtaining the configuration information of a new comparison project, including comparison frequency attribute information which includes comparison frequency N; acquiring a selected DAU module to be compared and tested; generating a comparison test item task based on the configuration information and the to-be-compared test DAU module; executing the task to obtain automatic measurement data and manual measurement data of a to-be-compared measurement point in the DAU module during ith comparison measurement; on the basis of the automatic measurement data and the manual measurement data, performing comparison measurement processing by adopting a comparison measurement standard matched with the to-be-compared measurement point to obtain a comparison measurement deviation sequence mean square error and a comparison measurement deviation control limit value; and performing reliability evaluation on the automatic measurement value of the to-be-compared measurement point according to the comparison measurement deviation sequence mean square error and the comparison measurement deviation control limit value. The system can further improve the standardization, normalization and comprehensive management level of manual comparison and measurement work of hydropower station dam safety monitoring points.

Description

Technical Field

[0001] The present application relates to the technical field of hydraulic engineering safety monitoring, and in particular to a method, device and electronic equipment for processing manual comparative measurement data of a hydropower station dam. Background Art

[0002] A dam (also known as a barrage) is a key structure in a hydropower station. Its core function is to intercept river water, raising the water level upstream and thereby storing large amounts of water. In this way, the dam effectively concentrates the drop in the upstream river, forming a reservoir with a certain head and storage capacity. This is a key prerequisite for a hydropower station to efficiently utilize the kinetic energy of the river for power generation.

[0003] Manual comparative measurement data used in hydropower station dam safety monitoring is typically processed and analyzed manually, a process that faces challenges of low efficiency and insufficient reliability. Specifically, due to the enormous workload of data processing, manual operations are easily affected by subjective factors, resulting in reduced data accuracy. This directly impacts the reliability evaluation results of automated measurements and, in turn, the accuracy of the analysis. To overcome these issues, optimizing the data processing process and improving the reliability of the results are urgent priorities. Summary of the Invention

[0004] The embodiments of the present application provide a method, device and electronic equipment for processing manual comparative measurement data of a hydropower station dam.

[0005] According to a first aspect of an embodiment of the present application, a method for processing manual comparative measurement data of a hydropower station dam is provided, comprising:

[0006] Acquire configuration information of a newly created comparative measurement project, wherein the configuration information includes at least attribute information of the comparative measurement times, and the attribute information includes at least the comparative measurement times N, where N is a positive integer;

[0007] Obtaining a selected DAU module to be compared; wherein all measuring points of the hydropower station dam each have a corresponding DAU module, and the DAU module to be compared is associated with one or more measuring points among all measuring points of the hydropower station dam;

[0008] Based on the configuration information of the newly created comparison test project and the DAU module to be compared, a comparison test project task is generated for the DAU module to be compared;

[0009] Execute the comparison test project task to obtain multiple automated measurement data and multiple manual measurement data for the measurement point to be compared in the DAU module to be compared during the i-th comparison test; wherein the number of measurements and the measurement time of the automated measurement and the manual measurement are the same, and the value of i is a positive integer less than or equal to N;

[0010] Based on the multiple automated measurement data and the multiple manual measurement data, performing comparative measurement processing using a comparative measurement standard that matches the to-be-compared measurement point, and obtaining a comparative measurement deviation and a comparative measurement deviation control limit of the to-be-compared measurement point in the i-th comparative measurement;

[0011] Based on the N comparison deviations of the measurement points to be compared, a comparison deviation sequence mean square error of the measurement points to be compared is determined, and reliability evaluation of the automated measurement values of the measurement points to be compared is performed according to the comparison deviation sequence mean square error and the comparison deviation control limit.

[0012] According to a second aspect of an embodiment of the present application, a device for processing manual comparative measurement data of a hydropower station dam is provided, comprising:

[0013] A first acquisition module is configured to acquire configuration information of a newly created comparative measurement project, wherein the configuration information includes at least attribute information of the comparative measurement times, and the attribute information includes at least the comparative measurement times N, where N is a positive integer;

[0014] A second acquisition module is configured to acquire a selected DAU module to be compared; wherein all measuring points of the hydropower station dam each have a corresponding DAU module, and the DAU module to be compared is associated with one or more measuring points among all measuring points of the hydropower station dam;

[0015] A generating module, configured to generate a comparison test project task for the DAU module to be compared based on the configuration information of the newly created comparison test project and the DAU module to be compared;

[0016] an execution module, configured to execute the comparative measurement project task, and obtain multiple automated measurement data and multiple manual measurement data for the measurement point to be compared in the DAU module to be compared during the i-th comparative measurement; wherein the number of measurements and the measurement time of the automated measurement and the manual measurement are the same, and the value of i is a positive integer less than or equal to N;

[0017] a processing module configured to perform comparative measurement processing based on the multiple automated measurement data and the multiple manual measurement data, using a comparative measurement standard that matches the to-be-compared measurement point, to obtain a comparative measurement deviation and a comparative measurement deviation control limit of the to-be-compared measurement point during the i-th comparative measurement;

[0018] An evaluation module is used to determine the mean square error of the comparison deviation sequence of the measurement point to be compared based on the N comparison deviations of the measurement point to be compared, and to perform reliability evaluation on the automated measurement value of the measurement point to be compared according to the mean square error of the comparison deviation sequence and the comparison deviation control limit.

[0019] According to a third aspect of the embodiments of the present application, there is provided an electronic device, including:

[0020] at least one processor; and

[0021] a memory communicatively connected to the at least one processor; wherein,

[0022] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0023] According to a fourth aspect of an embodiment of the present application, a storage medium is provided, which stores instructions. When the instructions are executed on an electronic device, the electronic device executes the method described in the first aspect above.

[0024] According to a fifth aspect of the embodiments of the present application, a program product is provided, which implements the steps of the method described in the first aspect when the instructions in the program product are executed by a processor.

[0025] According to the technical solution of the present application, a comparison project task for the DAU module to be compared can be generated based on the configuration information of the newly created comparison project and the selected DAU module to be compared, and the task is executed to obtain the automated measurement data and manual measurement data of the measurement point to be compared in the DAU module during the i-th comparison; based on the automated measurement data and manual measurement data, a comparison standard matching the measurement point to be compared is used for comparison processing, which can ensure the accuracy, consistency and comparability of the comparison results, and make the results horizontally comparable, thereby improving the credibility of the reliability evaluation of the automated measurement value of the hydropower station dam safety monitoring and the cross-project collaborative management efficiency, and further improving the standardization, normalization and comprehensive management level of the manual comparison work of the hydropower station dam safety monitoring measurement point. In addition, the comparison standard is used to calculate the comparison deviation sequence mean square error and the comparison deviation control limit, and then the comparison deviation sequence mean square error and the comparison deviation control limit are used to evaluate the reliability of the automated measurement value of the measurement point to be compared, which can provide an effective basis for verifying and evaluating the accuracy and reliability of the automated measurement value. The entire process can be implemented through a program, which can solve the problem of huge manual workload in traditional manual comparison methods of dam safety monitoring.

[0026] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0028] Figure 1 A flow chart of a method for processing manual comparative measurement data of a hydropower station dam provided in an embodiment of the present application;

[0029] Figure 2 A flow chart showing the module design of a manual comparative measurement data processing system for a hydropower station dam provided in an embodiment of the present application;

[0030] Figure 3 This is a block diagram of a device for processing manual comparative measurement data of a hydropower station dam provided in an embodiment of the present application. DETAILED DESCRIPTION

[0031] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0032] The following describes the manual comparative measurement data processing method, device and electronic equipment for a hydropower station dam according to an embodiment of the present application with reference to the accompanying drawings.

[0033] It should be noted that the execution entity of the manual comparative measurement data processing method for a hydropower station dam in the embodiment of the present application may be a manual comparative measurement data processing device for a hydropower station dam. The device may be implemented by software and / or hardware and may be configured in an electronic device. For example, the electronic device may include, but is not limited to, a terminal, a server, and the like.

[0034] Figure 1 This is a flow chart of the method for processing manual comparative measurement data of a hydropower station dam provided in the embodiment of the present application. Figure 1 As shown, the method for processing manual comparative measurement data of the hydropower station dam may include but is not limited to the following steps.

[0035] In step 101, configuration information of a new comparison test project is obtained.

[0036] In some embodiments, the configuration information may include but is not limited to attribute information of the number of comparison measurements, and the attribute information of the number of comparison measurements may include but is not limited to the number of comparison measurements N, where N is a positive integer. For example, a configuration interface for creating a new comparison measurement project may be provided, and the configuration of the new comparison measurement project may be performed on the configuration interface. For example, the configuration interface may be used to set the number of comparison measurements, and create a new comparison measurement project of the corresponding number. The project content mainly includes the name of the comparison measurement number, whether it is currently being measured, the number of comparison measurements, the establishment time, etc.

[0037] In step 102, a selected DAU (Data Acquisition Unit) module to be measured is obtained.

[0038] Among them, in an embodiment of the present application, all measuring points of the hydropower station dam can each have a corresponding DAU module, and the DAU module to be measured can be associated with one or more measuring points among all measuring points of the hydropower station dam. Exemplarily, a measuring point management module and a DAU category module can be provided to the user. The measuring point management module can be used to manage all monitoring measuring points of the hydropower station dam, record and store the attribute information of the measuring points, including the module to which the measuring point belongs, the measuring status, the channel name, the measuring point name, the measurement number, the measurement name, the channel type, the channel value, the main channel parameters, etc., and can realize the import and export of the measuring point attribute information and the modification of the relevant attribute information of the measuring point. The DAU category module can be used to classify and manage the DAU modules belonging to the measuring points in the hydropower station dam. For example, it can be classified according to the corridor elevation and the location of the monitoring station to indicate the location of the DAU module.

[0039] In one possible implementation, a selection interface may be provided for the user, on which the user may select the DAU module to be compared and measured. Upon receiving the user's selection confirmation operation, the selected DAU module to be compared and measured may be obtained based on the user's selection operation.

[0040] In another possible implementation, a comparison requirement file may be pre-configured, which includes relevant information (such as an identifier) of the DAU module to be compared. When the comparison time arrives, the selected DAU module to be compared is obtained based on the comparison requirement file.

[0041] It is worth noting that in the embodiment of the present application, by associating the DAU module with the measuring points of the hydropower station dam, it is convenient for monitoring personnel to compare the measuring points and the DAU module for unified management.

[0042] In step 103, based on the configuration information of the newly created comparison test project and the DAU module to be compared, a comparison test project task for the DAU module to be compared is generated.

[0043] In an embodiment of the present application, the configuration information of the newly created comparison project can be used to generate a comparison project task for the DAU module to be compared. Exemplarily, the comparison project task can be used to instruct the automated measurement of the measurement points to be compared in the DAU module to be compared, and to instruct the manual measurement of the cable core wires connected to the measurement points to be compared through the secondary instrument. The measured items may include but are not limited to one or more monitoring items such as engineering deformation, seepage, stress and strain. Exemplarily, the comparison project task can include the position of the DAU module to be compared and the position of the measurement points to be compared, and can also include the number of measurements and measurement time of the automated measurement and manual measurement of the current comparison, but is not limited thereto.

[0044] In step 104 , the comparison test project task is executed to obtain multiple automated measurement data and multiple manual measurement data for the comparison test point in the DAU module to be compared during the i-th comparison test, where the value of i is a positive integer less than or equal to N.

[0045] In the embodiment of the present application, the number of measurements and the measurement time of the automated measurement and the manual measurement are the same.

[0046] In some embodiments, the configuration information may also include relevant information about target personnel, which may include but are not limited to observers and verifiers. For example, the target personnel may include observers for manual measurement, personnel for data recording and reporting, and verifiers for verifying the work of the observers, data recording, and reporting personnel. Optionally, the person for data recording and reporting and the observer may be the same person.

[0047] In some embodiments, an optional implementation method for the above-mentioned task of performing the comparison project may be as follows: a first measurement request is sent to a safety monitoring system associated with the hydropower station dam, and the first measurement request can be used to perform multiple automated measurements of the monitoring parameters of the measurement point to be compared; based on the relevant information of the target personnel, a second measurement request is sent to the terminal of the target personnel, and the second measurement request can be used to instruct the target personnel to use a secondary instrument to connect the cable core wire of the measurement point to be compared for multiple data collection.

[0048] Exemplarily, for each comparison test, the point to be compared can be subjected to multiple automated measurements and multiple manual measurements. For example, for the i-th comparison test of the point to be compared, the monitoring parameters of the point to be compared can be measured automatically multiple times (such as three times) by the safety monitoring system, and the target personnel can be notified to use a secondary instrument to connect the cable core wire of the point to be compared at the same measurement time for multiple (such as three) data collection. The safety monitoring system can return the results of the multiple automated measurements, so that the electronic device can obtain the multiple automated measurement data of the point to be compared during the i-th comparison test. The target personnel can enter the results of the recorded multiple manual measurements into the measuring point of the corresponding DAU module, so that the electronic device can obtain the multiple manual measurement data of the point to be compared during the i-th comparison test.

[0049] In step 105, based on multiple automated measurement data and multiple manual measurement data, a comparison process is performed using a comparison standard that matches the measurement point to be compared, and a comparison deviation and a comparison deviation control limit of the measurement point to be compared during the i-th comparison are obtained.

[0050] In some embodiments, the comparison standard may refer to a technical specification, reference method or benchmark used for manual comparison of the measurement points to be compared during the comparison process, and may include, for example, calculation formulas for various comparison calculation parameters.

[0051] In an embodiment of the present application, after obtaining multiple automated measurement data and multiple manual measurement data of the measuring point to be compared during the i-th comparison test, the multiple automated measurement data and the multiple manual measurement data can be compared and processed using a comparison standard that matches the measuring point to be compared to obtain a comparison deviation control limit of the measuring point to be compared and a comparison deviation of the measuring point to be compared during the i-th comparison test.

[0052] In some embodiments, a comparison standard matching the measurement point to be compared can be used to compare multiple automated measurement data (such as X zi It refers to the automatic measurement sequence of the i-th comparison test) and multiple manual measurement data (such as X ri It means that the deviation calculation is performed on the manual measurement sequence at the i-th comparison test to obtain the median value of the automated measurement values and the median value of the manual measurement values of the measuring point to be compared at the i-th comparison test, and the comparison deviation of the measuring point to be compared at the i-th comparison test is determined based on the median value of the automated measurement values and the median value of the manual measurement values of the measuring point to be compared at the i-th comparison test.

[0053] For example, multiple automated measurement data (e.g., a sequence of automated measurement values during the i-th comparison test) can be used to perform intermediate value calculations to obtain the intermediate value of the automated measurement values of the measurement point to be compared during the i-th comparison test. Multiple manual measurement data (e.g., a sequence of manual measurement values during the i-th comparison test) can be used to perform intermediate value calculations to obtain the intermediate value of the manual measurement values of the measurement point to be compared during the i-th comparison test. The absolute value of the difference between the intermediate value of the automated measurement values and the intermediate value of the manual measurement values of the measurement point to be compared during the i-th comparison test is determined as the comparison deviation of the measurement point to be compared during the i-th comparison test.

[0054] In some embodiments, a comparison standard that matches the measurement point to be compared can be used to perform standard deviation arithmetic mean operations on multiple automated measurement data and multiple manual measurement data, respectively, to obtain the automated standard deviation arithmetic mean and the manual standard deviation arithmetic mean of the measurement point to be compared; based on the automated measurement accuracy value, the manual measurement accuracy value, the automated standard deviation arithmetic mean and the manual standard deviation arithmetic mean of the measurement point to be compared, the comparison deviation control limit of the measurement point to be compared is determined.

[0055] In one possible implementation, a comparison standard that matches the measurement point to be compared can be used to determine the range coefficient that matches the measurement point to be compared; the standard deviation is calculated based on the maximum and minimum values and the range coefficient in multiple automated measurement data to obtain the standard deviation of the automated measurement value of the measurement point to be compared at the i-th comparison, and the average value is calculated based on the N automated measurement standard deviations of the measurement point to be compared to obtain the arithmetic mean of the automated standard deviation of the measurement point to be compared; the standard deviation is calculated based on the maximum and minimum values and the range coefficient in multiple manual measurement data to obtain the standard deviation of the manually measured value of the measurement point to be compared at the i-th comparison, and the average value is calculated based on the N manually measured standard deviations of the measurement point to be compared to obtain the arithmetic mean of the manual standard deviation of the measurement point to be compared.

[0056] For example, the comparison standard includes a range coefficient for calculating the standard deviation of the measured values, and may also include a calculation formula for the standard deviation of the measured values. The calculation formula and the range coefficient may be used to calculate the automated measurement standard deviation and the manual measurement standard deviation of the measured point in the i-th comparison. As an example, the calculation formula for the automated measurement standard deviation is as follows: Among them, e zi is the standard deviation of the automated measurement, X zimax is the maximum value of the multiple automated measurement data of the test point to be compared during the i-th comparison test, X zimin is the minimum value of the multiple automated measurement data of the measuring point to be compared during the i-th comparison test, and C is the range coefficient.

[0057] As an example, the calculation formula for the standard deviation of manual measurements is as follows: Among them, e ri is the standard deviation of manual measurement, X rimax is the maximum value of the multiple manual measurement data of the measured point in the i-th comparison test, X rimin It is the minimum value of the multiple manual measurement data of the measuring point to be compared during the i-th comparison measurement.

[0058] Optionally, for the i-th comparison test of the measuring point to be compared, the maximum value, minimum value and range coefficient of the multiple automated measurement data during the i-th comparison test can be substituted into the calculation formula of the above-mentioned measurement value standard deviation (automatic measurement value standard deviation and manual measurement value standard deviation), and the automated measurement value standard deviation of the measuring point to be compared during the i-th comparison test and the manual measurement value standard deviation of the measuring point to be compared during the i-th comparison test can be obtained. The average value of the N automated measurement value standard deviations of the measuring point to be compared can be calculated to obtain the arithmetic average value of the automated standard deviation of the measuring point to be compared, e z , the calculation formula is as follows: The standard deviations of the N manual measurement values of the measurement points to be compared can be averaged to obtain the arithmetic mean value of the manual standard deviations of the measurement points to be compared, e r, the calculation formula is as follows:

[0059] For example, after obtaining the arithmetic mean of the automated standard deviation and the arithmetic mean of the manual standard deviation of the measurement point to be compared, the calculation formula for the comparative deviation control limit can be used to calculate the comparative deviation control limit of the measurement point to be compared based on the automated measurement accuracy value, the manual measurement accuracy value, the arithmetic mean of the automated standard deviation, and the arithmetic mean of the manual standard deviation. As an example, the calculation formula for the comparative deviation control limit is expressed as follows:

[0060]

[0061] Among them, σ is the control limit of the comparative deviation; σ z is the automated measurement accuracy value; σ r is the manual measurement accuracy value; e z is the arithmetic mean of the automated standard deviation; e r Optionally, the above-mentioned automatic measurement accuracy value and manual measurement accuracy value can be pre-set parameters, for example, they can be configured in the comparison standard that matches the measurement point to be compared.

[0062] In step 106, based on the N comparison deviations of the measurement points to be compared, the mean square error of the comparison deviation sequence of the measurement points to be compared is determined, and the reliability of the automated measurement values of the measurement points to be compared is evaluated according to the mean square error of the comparison deviation sequence and the comparison deviation control limit.

[0063] In some embodiments, the N comparison deviations of the to-be-compared measurement points can be averaged to obtain an average value of the N comparison deviations, and the square root of the average value can be calculated to obtain the mean square error of the comparison deviation sequence of the to-be-compared measurement points. For example, the calculation formula of the mean square error of the comparison deviation sequence can be expressed as follows: δ is the mean square error of the comparison deviation sequence, δ i is the comparison deviation of the measured point during the i-th comparison.

[0064] In some embodiments, after obtaining the mean square error of the comparison deviation sequence of the measurement point to be compared, the mean square error of the comparison deviation sequence can be compared with 2 times the comparison deviation control limit; when the mean square error of the comparison deviation sequence is less than or equal to 2 times the comparison deviation control limit, it can be determined that the automated measurement value evaluation of the measurement point to be compared is reliable.

[0065] In the above embodiment, a comparison project task for the DAU module to be compared can be generated based on the configuration information of the newly created comparison project and the selected DAU module to be compared. The task is executed to obtain the automated measurement data and manual measurement data of the measurement point to be compared in the DAU module during the i-th comparison test; based on the automated measurement data and manual measurement data, a comparison standard matching the measurement point to be compared is used for comparison processing, which can ensure the accuracy, consistency and comparability of the comparison results, make the results horizontally comparable, improve the credibility of the reliability evaluation of the automated measurement value of the hydropower station dam safety monitoring, and improve the cross-project collaborative management efficiency, and further improve the standardization, normalization and comprehensive management level of the manual comparison work of the hydropower station dam safety monitoring measurement point. In addition, the comparison standard is used to calculate the comparison deviation sequence mean square error and comparison deviation control limit, and then the comparison deviation sequence mean square error and comparison deviation control limit are used to perform reliability evaluation of the automated measurement value of the measurement point to be compared, which can provide an effective basis for verifying and evaluating the accuracy and reliability of the automated measurement value. The entire process can be implemented through a program, which can solve the problem of huge manual workload in traditional manual comparison methods of dam safety monitoring.

[0066] Optionally, in some embodiments, based on the automated measurement data and manual measurement data of the measuring point to be compared during the previous comparisons, an automated measurement process line and a manual measurement process line can be drawn, and the automated measurement process line and the manual measurement process line are compared in terms of regularity and measurement value variation, so as to obtain the automated measurement reliability change information of the measuring point to be compared and to perform a visual display. Exemplarily, a drawing tool can be used to draw an automated measurement process line based on the automated measurement data of the measuring point to be compared during the previous comparisons, and a manual measurement process line can be drawn based on the manual measurement data of the measuring point to be compared during the previous comparisons, and data analysis technology (such as visual recognition technology, but not limited to this) can be used to compare the automated measurement process line and the manual measurement process line in terms of regularity and measurement value variation, so as to obtain the automated measurement reliability change information of the measuring point to be compared and to perform a visual display. It can be understood that as the number of comparisons increases, the amount of comparison data also increases, and the regularity and measurement value variation comparison of the automated measurement process line and the manual measurement process line become more and more prominent, which can provide monitoring personnel with a long-term focus on the automated measurement reliability of the measuring point.

[0067] Optionally, in some embodiments, based on the comparison calculation parameters and reliability evaluation results of all the measurement points to be compared in the DAU module to be compared, a manual comparison record table for the DAU module to be compared can be automatically generated for download and / or visual display, and the comparison calculation parameters include at least one of: a comparison deviation control limit and a comparison deviation sequence mean square error. Exemplarily, the comparison calculation parameters may include, but are not limited to, one or more of the automated measurement median, the manual measurement median, the comparison deviation, the automated standard deviation arithmetic mean, the manual standard deviation arithmetic mean, the comparison deviation control limit, the automated measurement standard deviation, the manual measurement standard deviation, and the comparison deviation sequence mean square error.

[0068] That is to say, the comparison calculation parameters and automated measurement reliability evaluation results of all the measurement points to be compared in the DAU module to be compared can be obtained, and the comparison calculation parameters and automated measurement reliability evaluation results can be used to automatically generate a manual comparison record table for the DAU module to be compared, so that relevant personnel can query and analyze the comparison calculation parameters and evaluation results of the DAU module to be compared, so as to facilitate subsequent decision-making and processing based on this.

[0069] Optionally, in some embodiments, the DAU module to be compared can be used as a unit to automatically count the measurement points that do not meet the automated measurement reliability judgment condition, and display the proportion of measurement points that do not meet the automated measurement reliability judgment condition. The automated measurement reliability judgment condition can include the mean square error of the comparison deviation sequence being less than or equal to 2 times the comparison deviation control limit. Exemplarily, the DAU module to be compared is used as a unit to automatically count the measurement points that do not meet δ≤2σ, and display the proportion of measurement points that do not meet the condition for query or analysis by monitoring personnel.

[0070] To sum up, this application can automatically realize the comparison of regularity and change amplitude of process lines of manual measurement and automatic measurement, variance comparison, measurement reliability evaluation, statistical analysis of comparison results, generation and output of graphic reports, etc., which can greatly save manpower and time investment, realize the automation, informatization and intelligence of manual comparison data compilation and analysis, and further improve the standardization, standardization and comprehensive management level of manual comparison work of dam safety monitoring points.

[0071] Figure 2 This is a flow chart of the module design of the manual comparative measurement data processing system for the hydropower station dam provided in the embodiment of this application. Figure 2 As shown in the figure, the manual comparative measurement data processing system for the hydropower station dam consists of two major modules: system management and comparative measurement management. The system management module includes the measurement point management module, the DAU category module, the personnel management module, and the authority management module. The comparative measurement management module includes the new project module, the comparative measurement data input and result output module, and the previous comparative measurement record module. The following is an introduction to the functions of each module:

[0072] (1) Measuring point management module: This module manages all monitoring points of the dam and records and stores the attribute information of the measuring points, including the module to which the measuring point belongs, the measuring status, the channel name, the measuring point name, the measurement number, the measurement name, the channel type, the channel value, and the main channel parameters. It can import and export the attribute information of the measuring point and modify the attribute information of the measuring point.

[0073] (2) DAU category module: It is used to classify and manage the DAU modules belonging to the dam measuring points. It mainly classifies them according to the corridor elevation and the location of the monitoring station, and indicates the location of the module.

[0074] (3) Personnel management module: used to add and delete system accounts and modify system user attributes, and to uniformly manage the accounts of logged-in personnel.

[0075] (4) Permission management module: used for administrator level and module permission settings, and setting the modules that can be accessed by the login account.

[0076] (5) New Comparison Test Project Module: This module is used to set the number of comparison tests and create a new comparison test project with the corresponding number of tests. The project content mainly includes the comparison test name, whether it is currently being tested, the number of comparison tests, and the establishment time. The data is then fed back to the comparison test data input and result output module.

[0077] (6) Comparison Data Input and Result Output Module: This module is used to report automated and manual measurement values, including automatic import of automated values, manual input of manual values, parameter calculation, result output, automatic generation of manual comparison record sheets, and automatic drawing of automated and manual measurement process lines. The comparison data input and result output module can be used to execute the method described in any of the above embodiments.

[0078] (7) Previous comparison test record module: records the data and results of all previous DAU module comparison tests, so that relevant personnel can query the previous comparison test results and provide a basis for the overall analysis of the reliability of previous automated measurement values.

[0079] The technical solution of the present application will be described clearly and completely below in conjunction with the embodiments. Taking the dam safety monitoring of a certain hydropower station as an example, the dam safety monitoring system of the hydropower station is connected to more than 290 data acquisition units (DAUs), and has more than 590 built-in DAU intelligent data acquisition modules of various types. Each DAU module is connected to a certain number of automated measuring points, and the monitoring data is collected regularly through the sensors of the measuring points and stored in the database of the dam safety monitoring system, so as to realize the deformation, seepage, stress-strain and temperature monitoring of the arch dam of the hydropower station. According to the requirements of the comparative measurement standards and specifications, manual comparative measurement work needs to be carried out on the automated measuring points of the monitoring items such as dam deformation, seepage, stress-strain, and temperature every year, and the manual measurement values are compared and analyzed with the automated measurement values to provide a basis for verifying and evaluating the accuracy and reliability of the automated measurement values.

[0080] The following briefly illustrates the technical steps using an example. A manual comparative measurement is performed using the first measuring point in the first DUA module (e.g., labeled DUA1) of a hydropower station's dam safety monitoring system. The instrument deployed at the first measuring point is an osmometer, which monitors changes in the osmotic pressure of the buried area, allowing monitoring personnel to promptly understand the working status of the monitored area. The specific technical steps are as follows:

[0081] 1. Create a new comparative measurement project, set i = 1, and name it the 1st comparative measurement project in XXXX year XX month. Enter the relevant information of the observer, recorder, and checker.

[0082] 2. Select the comparative measurement module DUA1 in the project, and use the dam safety monitoring system to continuously measure the frequency of the first measuring point in the module three times. The automatic measurement value one is 2950.0Hz, the automatic measurement value two is 2950.0Hz, and the automatic measurement value three is 2950.1Hz, forming an automatic measurement value sequence {2950.3, 2950.5, 2950.2}. Import the measured values into the corresponding first measuring point in the comparative measurement data input and result output module.

[0083] 3. At the time points corresponding to the three automated measurements, use the cable core wire connecting the secondary instrument to the module's measurement point to collect frequency data. Collect data three times in a row, recording manual measurement value 1 as 2950.0 Hz, manual measurement value 2 as 2949.7 Hz, and manual measurement value 3 as 2949.8 Hz, forming the manual measurement sequence {2950.0, 2949.7, 2949.8}. Manually enter these values into the corresponding first measurement point in the Comparison Data Input and Result Output module.

[0084] 4. Obtain the automated and manual measurement values of the first measuring point, and perform calculations using the parameter formulas in the comparative data input and result output modules.

[0085] The formula for calculating the parameters of the automated measurement is as follows:

[0086] Use the MEDIAN function formula to calculate the median value X of the automated measurement sequence zi .

[0087] use Calculate the standard deviation e zi , where C represents the range coefficient, which is a preset parameter. zimax With X zimin The maximum and minimum values of the automated measurement sequence. Automated measurement accuracy σ z is the preset parameter. Calculate the automated standard deviation arithmetic mean e z .

[0088] The formula for calculating the parameters of manual measurement is as follows:

[0089] Use the MEDIAN function formula to calculate the median value X of the artificial measurement sequence ri .

[0090] use Calculate the standard deviation e ri , where C represents the range coefficient, which is a preset parameter. rimax With X rimin is the maximum and minimum value of the manual measurement sequence. Manual measurement accuracy σ r is the preset parameter. Calculate the arithmetic mean of the artificial standard deviation e r .

[0091] The result output parameter formula is as follows:

[0092] Using the formula The control limit of the comparative deviation σ is calculated.

[0093] Using the formula δ i =|X zi -X ri |Calculate the comparative deviation δ i , further using the formula The mean square error δ of the comparison deviation sequence is calculated.

[0094] Calculate the artificial measurement sequence calculation parameters: intermediate value X r1 =2949.8Hz, standard deviation e r1 =0.18, manual measurement accuracy σ r is the preset parameter, take σ r =0.1, artificial standard deviation arithmetic mean e r =0.18.

[0095] Automatic measurement sequence calculation parameters: the middle value is X z1=2950.0, standard deviation e z1 =0.06, automated measurement accuracy σ z is the preset parameter, take σ z =0.1, artificial standard deviation arithmetic mean e z =0.06.

[0096] The result output parameters are: comparative deviation control limit σ=0.24, comparative deviation sequence mean square error δ=0.45, and deviation mark δ1=0.2.

[0097] 5. Perform variance analysis and compare the calculated mean square error δ of the comparison deviation sequence with 2 times the comparison deviation control limit σ to determine whether δ≤2σ holds true. Because 0.45≤2*0.24, it means that the comparison of the first measuring point is qualified and the automated measurement evaluation is reliable.

[0098] 6. Obtain the calculation parameters and evaluation results of the first measuring point in the first module, automatically generate a manual comparison measurement record sheet, and export the manual comparison measurement record sheet for printing and paper archiving.

[0099] 7. Obtain the automated and manual measurement sequences for the first measuring point, plot the automated and manual measurement process lines, and compare their regularity and value fluctuations. This allows monitoring personnel to monitor the changes in the automated measurement values at the measuring point over the long term. As the number of comparison measurements increases, the amount of comparison data also increases, and the regularity and value fluctuations of the automated and manual measurement process lines become increasingly prominent.

[0100] Figure 3 This is a block diagram of the manual comparative measurement data processing device for a hydropower station dam provided in an embodiment of the present application. Figure 3 As shown, the manual comparative measurement data processing device for the hydropower station dam may include: a first acquisition module 301 , a second acquisition module 302 , a generation module 303 , an execution module 304 , a processing module 305 and an evaluation module 306 .

[0101] The first acquisition module 301 is used to acquire configuration information of a newly created comparative measurement project, where the configuration information at least includes attribute information of the number of comparative measurements, and the attribute information at least includes the number of comparative measurements N, where N is a positive integer.

[0102] The second acquisition module 302 is used to acquire the selected DAU module to be compared; wherein, all measuring points of the hydropower station dam each have a corresponding DAU module, and the DAU module to be compared is associated with one or more measuring points among all measuring points of the hydropower station dam.

[0103] The generating module 303 is used to generate a comparison test project task for the DAU module to be compared based on the configuration information of the newly created comparison test project and the DAU module to be compared.

[0104] The execution module 304 is used to execute the comparison project task, and obtain multiple automated measurement data and multiple manual measurement data for the measurement point to be compared in the DAU module to be compared during the i-th comparison; wherein the number of measurements and the measurement time of the automated measurement and the manual measurement are the same, and the value of i is a positive integer less than or equal to N.

[0105] The processing module 305 is used to perform comparison processing based on multiple automated measurement data and multiple manual measurement data using a comparison standard that matches the measurement point to be compared, and obtain the comparison deviation and comparison deviation control limit of the measurement point to be compared during the i-th comparison.

[0106] The evaluation module 306 is used to determine the mean square error of the comparison deviation sequence of the comparison point based on the N comparison deviations of the comparison point, and perform reliability evaluation on the automated measurement value of the comparison point according to the mean square error of the comparison deviation sequence and the comparison deviation control limit.

[0107] In some embodiments, the configuration information also includes relevant information of the target personnel, and the target personnel include at least observers and checkers; the execution module 304 is used to: send a first measurement request to the safety monitoring system associated with the hydropower station dam, and the first measurement request is used to perform multiple automated measurements of the monitoring parameters of the measurement point to be compared; based on the relevant information of the target personnel, send a second measurement request to the terminal of the target personnel, and the second measurement request is used to instruct the target personnel to use a secondary instrument to connect the cable core wire of the measurement point to be compared for multiple data collection.

[0108] In some embodiments, the processing module 305 is used to: use a comparison standard that matches the measurement point to be compared, perform deviation calculations on multiple automated measurement data and multiple manual measurement data, respectively, to obtain the median value of the automated measurement values and the median value of the manual measurement values of the measurement point to be compared during the i-th comparison, and determine the comparison deviation of the measurement point to be compared during the i-th comparison based on the median value of the automated measurement values and the median value of the manual measurement values of the measurement point to be compared during the i-th comparison; use a comparison standard that matches the measurement point to be compared, perform standard deviation arithmetic mean calculations on multiple automated measurement data and multiple manual measurement data, respectively, to obtain the arithmetic mean value of the automated standard deviation and the arithmetic mean value of the manual standard deviation of the measurement point to be compared; determine the comparison deviation control limit of the measurement point to be compared based on the automated measurement accuracy value, the manual measurement accuracy value, the arithmetic mean value of the automated standard deviation and the arithmetic mean value of the manual standard deviation of the measurement point to be compared.

[0109] In some embodiments, the processing module 305 is used to: use a comparison standard that matches the measurement point to be compared to determine a range coefficient that matches the measurement point to be compared; perform standard deviation calculation based on the maximum and minimum values and the range coefficient in multiple automated measurement data to obtain the automated measurement standard deviation of the measurement point to be compared at the i-th comparison, and perform average calculation based on the N automated measurement standard deviations of the measurement point to be compared to obtain the arithmetic mean of the automated standard deviation of the measurement point to be compared; perform standard deviation calculation based on the maximum and minimum values and the range coefficient in multiple manual measurement data to obtain the manually measured standard deviation of the measurement point to be compared at the i-th comparison, and perform average calculation based on the N manually measured standard deviations of the measurement point to be compared to obtain the arithmetic mean of the manual standard deviation of the measurement point to be compared.

[0110] In some embodiments, the calculation formula of the automated measurement standard deviation is expressed as follows: Among them, e zi is the standard deviation of the automated measurement, X zimax is the maximum value of the multiple automated measurement data of the test point to be compared during the i-th comparison test, X zimin is the minimum value of the multiple automated measurement data of the measuring point to be compared during the i-th comparison test, C is the range coefficient; the calculation formula for the standard deviation of the manual measurement value is expressed as follows: Among them, e ri is the standard deviation of manual measurement, X rimax is the maximum value of the multiple manual measurement data of the measured point in the i-th comparison test, X rimin It is the minimum value of the multiple manual measurement data of the measuring point to be compared during the i-th comparison measurement.

[0111] In some embodiments, the calculation formula of the comparative measurement deviation control limit is expressed as follows:

[0112]

[0113] Among them, σ is the control limit of the comparative deviation; σ z is the automated measurement accuracy value; σ r is the manual measurement accuracy value; e z is the arithmetic mean of the automated standard deviation; e r is the arithmetic mean of the artificial standard deviation.

[0114] In some embodiments, the evaluation module 306 is used to: compare the mean square error of the comparison deviation sequence with 2 times the comparison deviation control limit; when the mean square error of the comparison deviation sequence is less than or equal to 2 times the comparison deviation control limit, determine that the automated measurement evaluation of the measurement point to be compared is reliable.

[0115] In some embodiments, the evaluation module 306 is also used to: draw the automated measurement process line and the manual measurement process line based on the automated measurement data and manual measurement data of the measurement point to be compared during previous comparisons, and compare the regularity and measurement value variation of the automated measurement process line and the manual measurement process line, so as to obtain the automated measurement reliability change information of the measurement point to be compared and perform a visual display.

[0116] In some embodiments, the evaluation module 306 is also used to: automatically generate a manual comparison record table for the DAU module to be compared based on the comparison calculation parameters and reliability evaluation results of all the measurement points to be compared in the DAU module to be compared for download and / or visual display, and the comparison calculation parameters include at least one of: the comparison deviation control limit and the mean square error of the comparison deviation sequence.

[0117] In some embodiments, the evaluation module 306 is also used to: automatically count the measurement points that do not meet the conditions for determining the reliability of automated measurements using the DAU module to be measured as a unit, and display the proportion of measurement points that do not meet the conditions for determining the reliability of automated measurements; the conditions for determining the reliability of automated measurements include the mean square deviation of the measurement deviation sequence being less than or equal to 2 times the measurement deviation control limit.

[0118] It should be noted that the above explanation of the embodiment of the manual comparative measurement data processing method for a hydropower station dam is also applicable to the manual comparative measurement data processing device for a hydropower station dam of this embodiment, and will not be repeated here.

[0119] In order to implement the above-mentioned embodiments, the present application also proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the manual comparative measurement data processing method for the hydropower station dam provided in the present application.

[0120] In order to implement the above embodiment, the present application also proposes a storage medium, which stores instructions. When the instructions are run on an electronic device, the electronic device executes the manual comparison data processing method for the hydropower station dam provided by the present application.

[0121] In order to implement the above embodiments, the present application also proposes a computer program product. When the instructions in the computer program product are executed by a processor in an electronic device, the steps of the manual comparative measurement data processing method for a hydropower station dam provided in the present application are implemented.

[0122] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0123] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0124] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0125] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0126] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0127] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0128] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A method for processing manual comparative measurement data of a hydropower station dam, characterized in that: include: Acquire configuration information of a newly created comparative measurement project, wherein the configuration information includes at least attribute information of the comparative measurement times, and the attribute information includes at least the comparative measurement times N, where N is a positive integer; Obtaining a selected DAU module to be compared; wherein all measuring points of the hydropower station dam each have a corresponding DAU module, and the DAU module to be compared is associated with one or more measuring points among all measuring points of the hydropower station dam; Based on the configuration information of the newly created comparison test project and the DAU module to be compared, a comparison test project task is generated for the DAU module to be compared; Execute the comparison test project task to obtain multiple automated measurement data and multiple manual measurement data for the measurement point to be compared in the DAU module to be compared during the i-th comparison test; wherein the number of measurements and the measurement time of the automated measurement and the manual measurement are the same, and the value of i is a positive integer less than or equal to N; Based on the multiple automated measurement data and the multiple manual measurement data, performing comparative measurement processing using a comparative measurement standard that matches the to-be-compared measurement point, and obtaining a comparative measurement deviation and a comparative measurement deviation control limit of the to-be-compared measurement point in the i-th comparative measurement; Based on the N comparison deviations of the measurement points to be compared, a comparison deviation sequence mean square error of the measurement points to be compared is determined, and reliability evaluation of the automated measurement values of the measurement points to be compared is performed according to the comparison deviation sequence mean square error and the comparison deviation control limit.

2. The method according to claim 1, wherein The configuration information also includes relevant information of target personnel, and the target personnel include at least observers and checkers; the execution of the comparison test project task includes: Sending a first measurement request to a safety monitoring system associated with the hydropower station dam, wherein the first measurement request is used to perform multiple automated measurements of monitoring parameters of the to-be-measured measuring point; Based on the relevant information of the target person, a second measurement request is sent to the terminal of the target person, where the second measurement request is used to instruct the target person to use a secondary instrument to connect the cable core wire of the to-be-measured measuring point to collect data multiple times.

3. The method according to claim 1, wherein The method of performing comparative measurement processing based on the multiple automated measurement data and the multiple manual measurement data using a comparative measurement standard that matches the to-be-compared measurement point to obtain a comparative measurement deviation and a comparative measurement deviation control limit of the to-be-compared measurement point during the i-th comparative measurement includes: Using a comparison standard that matches the measurement point to be compared, performing deviation calculations on the multiple automated measurement data and the multiple manual measurement data, respectively, to obtain a median value of the automated measurement values and a median value of the manual measurement values of the measurement point to be compared during the i-th comparison measurement, and determining a comparison deviation of the measurement point to be compared during the i-th comparison measurement based on the median value of the automated measurement values and the median value of the manual measurement values of the measurement point to be compared during the i-th comparison measurement; Using a comparison standard that matches the measurement point to be compared, perform standard deviation arithmetic mean calculation on the multiple automated measurement data and the multiple manual measurement data, respectively, to obtain an automated standard deviation arithmetic mean and a manual standard deviation arithmetic mean of the measurement point to be compared; Determine a control limit of a comparison deviation of the measurement point to be compared based on the automated measurement accuracy value, the manual measurement accuracy value, the automated standard deviation arithmetic mean, and the manual standard deviation arithmetic mean of the measurement point to be compared.

4. The method according to claim 3, wherein The method adopts a comparison standard that matches the measurement point to be compared, and performs standard deviation arithmetic mean calculation on the multiple automated measurement data and the multiple manual measurement data, respectively, to obtain the automated standard deviation arithmetic mean and the manual standard deviation arithmetic mean of the measurement point to be compared, including: Using a comparison standard that matches the measurement point to be compared, determining a range coefficient that matches the measurement point to be compared; Calculating the standard deviation based on the maximum and minimum values and the range coefficient in the multiple automated measurement data to obtain the automated measurement standard deviation of the to-be-compared measuring point during the i-th comparison measurement, and calculating the average value based on the N automated measurement standard deviations of the to-be-compared measuring point to obtain the arithmetic mean of the automated standard deviations of the to-be-compared measuring point; The standard deviation is calculated based on the maximum and minimum values in the multiple manual measurement data and the range coefficient to obtain the standard deviation of the manual measurement value of the measuring point to be compared during the i-th comparison measurement, and the average value is calculated based on the N standard deviations of the manual measurement values of the measuring point to be compared to obtain the arithmetic mean of the manual standard deviations of the measuring point to be compared.

5. The method according to claim 4, wherein The calculation formula of the automated measurement standard deviation is as follows: Among them, e zi is the standard deviation of the automated measurement, X zimax is the maximum value of the multiple automated measurement data of the measuring point to be compared during the i-th comparison test, X zimin is the minimum value of the multiple automated measurement data of the measuring point to be compared during the i-th comparison measurement, and C is the range coefficient; The calculation formula of the manual measurement standard deviation is as follows: Among them, e ri is the standard deviation of the manual measurement, X rimax is the maximum value of the multiple manual measurement data of the measuring point to be measured during the i-th measurement, X rimin It is the minimum value of multiple manual measurement data of the measuring point to be compared during the i-th comparison measurement.

6. The method according to claim 3, wherein The calculation formula of the comparative measurement deviation control limit is as follows: Wherein, σ is the control limit of the comparative measurement deviation; σ z is the automation measurement accuracy value; σ r is the manual measurement accuracy value; e z is the arithmetic mean of the automated standard deviation; e r is the arithmetic mean of the artificial standard deviation.

7. The method according to claim 1, wherein The reliability evaluation of the automated measurement value of the to-be-compared measurement point according to the comparison deviation sequence mean square error and the comparison deviation control limit includes: Compare the mean square error of the comparison deviation sequence with 2 times the comparison deviation control limit; When the mean square error of the comparison deviation sequence is less than or equal to 2 times the comparison deviation control limit, it is determined that the automated measurement value evaluation of the to-be-compared measurement point is reliable.

8. The method according to any one of claims 1 to 7, wherein The method further comprises at least one of the following: Based on the automated measurement data and manual measurement data of the measuring point to be compared during previous comparison measurements, draw an automated measurement process line and a manual measurement process line, and compare the regularity and measurement value variation of the automated measurement process line and the manual measurement process line to obtain the reliability change information of the automated measurement value of the measuring point to be compared and perform a visual display; Based on the comparative measurement calculation parameters and reliability evaluation results of all the measurement points to be compared in the DAU module to be compared, a manual comparative measurement record table for the DAU module to be compared is automatically generated for download and / or visual display, wherein the comparative measurement calculation parameters include at least one of: a comparative measurement deviation control limit and a comparative measurement deviation sequence mean square error; Taking the DAU module to be compared as a unit, the measurement points that do not meet the conditions for reliable determination of automated measurement values are automatically counted, and the proportion information of the measurement points that do not meet the conditions for reliable determination of automated measurement values is displayed; the conditions for reliable determination of automated measurement values include that the mean square deviation of the comparison deviation sequence is less than or equal to 2 times the comparison deviation control limit.

9. A data processing device for manual comparison of hydropower station dams, characterized in that: include: A first acquisition module is configured to acquire configuration information of a newly created comparative measurement project, wherein the configuration information includes at least attribute information of the comparative measurement times, and the attribute information includes at least the comparative measurement times N, where N is a positive integer; A second acquisition module is configured to acquire a selected DAU module to be compared; wherein all measuring points of the hydropower station dam each have a corresponding DAU module, and the DAU module to be compared is associated with one or more measuring points among all measuring points of the hydropower station dam; A generating module, configured to generate a comparison test project task for the DAU module to be compared based on the configuration information of the newly created comparison test project and the DAU module to be compared; an execution module, configured to execute the comparative measurement project task, and obtain multiple automated measurement data and multiple manual measurement data for the measurement point to be compared in the DAU module to be compared during the i-th comparative measurement; wherein the number of measurements and the measurement time of the automated measurement and the manual measurement are the same, and the value of i is a positive integer less than or equal to N; a processing module configured to perform comparative measurement processing based on the multiple automated measurement data and the multiple manual measurement data, using a comparative measurement standard that matches the to-be-compared measurement point, to obtain a comparative measurement deviation and a comparative measurement deviation control limit of the to-be-compared measurement point during the i-th comparative measurement; An evaluation module is used to determine the mean square error of the comparison deviation sequence of the measurement point to be compared based on the N comparison deviations of the measurement point to be compared, and to perform reliability evaluation on the automated measurement value of the measurement point to be compared according to the mean square error of the comparison deviation sequence and the comparison deviation control limit.

10. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 8.

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