CN119245777A - An early warning system for the operation of flow measuring instruments for hydroacoustic detection based on data analysis - Google Patents
An early warning system for the operation of flow measuring instruments for hydroacoustic detection based on data analysis Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F25/00—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume
- G01F25/10—Testing or calibration of apparatus for measuring volume, volume flow or liquid level or for metering by volume of flowmeters
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01F—MEASURING VOLUME, VOLUME FLOW, MASS FLOW OR LIQUID LEVEL; METERING BY VOLUME
- G01F1/00—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow
- G01F1/66—Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow by measuring frequency, phase shift or propagation time of electromagnetic or other waves, e.g. using ultrasonic flowmeters
- G01F1/667—Arrangements of transducers for ultrasonic flowmeters; Circuits for operating ultrasonic flowmeters
- G01F1/668—Compensating or correcting for variations in velocity of sound
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Abstract
The invention belongs to the field of water acoustic detection, relates to a data analysis technology, and is used for solving the problem that the actual measurement accuracy defect of an ultrasonic flowmeter cannot be monitored in the prior art, in particular to a water acoustic detection flow measuring instrument operation early warning system based on data analysis, which comprises an operation early warning platform, wherein the operation early warning platform is in communication connection with an accuracy test module, an accuracy early warning module, a stability evaluation module and a database; the accuracy testing module is used for carrying out accuracy testing analysis on the flow measuring instrument for the water acoustic detection, marking the ultrasonic flowmeter for the water acoustic detection as a test object, carrying out test analysis on the test object for a plurality of times and obtaining the turbidity critical value of the test object in each test analysis process.
Description
Technical Field
The invention belongs to the field of water acoustic detection, relates to a data analysis technology, and particularly relates to a running early warning system of a flow meter for water acoustic detection based on data analysis.
Background
Aiming at complex ocean environments and various target types, the existing underwater single-platform single-sensor on the water surface has limited detection capability and poor stability, and is difficult to meet the requirements of accurate detection and recognition of underwater sound targets in the future, so that various types of underwater detection equipment and sensors are developed and put into test and application for adapting to the complex ocean environments and obtaining richer and more accurate target information.
The ultrasonic flowmeter widely applied in the underwater acoustic detection is suitable for non-contact measurement, does not interfere with fluid flow, has the advantages of wide application range, high measurement precision, low initial measurement and the like, and generally cannot monitor the actual measurement precision defect of the ultrasonic flowmeter in a traditional mode of evaluating precision according to monitoring data output by an instrument because the non-contact working characteristic of the ultrasonic flowmeter is generally free from faults such as corrosion and blockage and the like which seriously affect the measurement precision.
The application provides a solution to the technical problem.
Disclosure of Invention
The invention aims to provide a data analysis-based running early warning system of a flow meter for water acoustic detection, which is used for solving the problem that the prior art cannot monitor the actual measurement accuracy defect of an ultrasonic flowmeter;
The invention aims to solve the technical problem of providing a flow measuring instrument operation early warning system for water acoustic detection based on data analysis, which can monitor the actual measurement accuracy defect of an ultrasonic flowmeter.
The aim of the invention can be achieved by the following technical scheme:
the operation early warning system of the flow measuring instrument for the water acoustic detection based on data analysis comprises an operation early warning platform, wherein the operation early warning platform is in communication connection with a precision test module, a precision early warning module, a stability evaluation module and a database;
The precision test module is used for carrying out precision test analysis on the flow measuring instrument for the water acoustic detection, marking the ultrasonic flowmeter for the water acoustic detection as a test object, carrying out test analysis on the test object for a plurality of times and obtaining turbidity critical values of the test object in each test analysis process;
The precision early warning module is used for carrying out precision monitoring early warning analysis on a flow measuring instrument for water acoustic detection, when a test object passes through precision testing analysis and executes a flow measuring task, marking the test object as a monitoring object, generating a plurality of monitoring time points in the process of executing the flow measuring task by the monitoring object, acquiring a turbidity early warning coefficient of a task fluid at the monitoring time points, calling a turbidity limit value of the monitoring object through a database, comparing the turbidity early warning coefficient with the turbidity limit value, and judging whether the turbidity of the task fluid meets the test precision requirement of the monitoring object or not through a comparison result;
the stability evaluation module is used for evaluating and analyzing the operation stability of the flow meter for the water acoustic detection.
The method comprises the steps of acquiring a turbidity critical value of a test object in a test analysis process, wherein each test analysis process comprises a plurality of test time points, loading the test object on an unmanned aerial vehicle, acquiring a flow value of a test fluid through a Doppler radar, marking the flow value as a flow test value, acquiring a test error value and a turbidity coefficient of the test object at the test time points, acquiring a turbidity gray level threshold and a test error threshold through a database, and marking a turbidity coefficient minimum value of the test time points, of which the test error value is not greater than the test error threshold, in the test analysis process as the turbidity critical value of the test analysis process.
The method comprises the steps of obtaining a flow value of a test fluid through a checked contact flow tester, marking the flow value as a flow check value, marking the absolute value of the difference value between the flow check value and the flow test value at the test time point as the test error value at the test time point, shooting the test fluid through a high-definition camera carried by an unmanned plane at the test time point to obtain a test image, amplifying the test image into pixel grid images, carrying out gray level conversion, marking the pixel grid with the gray level value smaller than a turbidity gray level threshold value in the test image as a turbidity grid, and marking the ratio of the number of the turbidity grids in the test image to the total number of the pixel grids as the turbidity coefficient of the test image.
The method comprises the steps of carrying out variance calculation on all elements in a critical set to obtain a concentration coefficient, obtaining a concentration threshold through a database, comparing the concentration coefficient with the concentration threshold, judging that the data cleaning process is completed if the concentration coefficient is smaller than the concentration threshold, marking the smallest element in the critical set as a turbidity limit value of a test object, eliminating the largest element and the smallest element in the critical set if the concentration coefficient is larger than or equal to the concentration threshold, and then recalculating the concentration coefficient of the critical set until the concentration coefficient is smaller than the concentration threshold.
The specific process for judging whether the test object passes the precision test analysis comprises the steps of obtaining a turbidity defining threshold value through a database, comparing the turbidity defining value of the test object with the turbidity defining threshold value, judging that the test object passes the precision test analysis if the turbidity defining value is smaller than the turbidity defining threshold value, judging that the test object does not pass the precision test analysis if the turbidity defining value is larger than or equal to the turbidity defining threshold value, generating a preprocessing signal and sending the preprocessing signal to a mobile phone terminal of a manager through an operation early warning platform.
Further, the process for acquiring the turbidity early warning coefficient of the task fluid at the monitoring time point comprises the steps of shooting an image of the task fluid through a high-definition camera carried by the unmanned aerial vehicle, marking the shot image as a monitoring image, amplifying the monitoring image as a pixel grid image, carrying out gray level conversion, marking the pixel grid with a gray level value smaller than a turbidity gray level threshold value in the monitoring image as early warning grids, and marking the ratio of the number of the early warning grids in the monitoring image to the number of all the pixel grids as the turbidity early warning coefficient of the monitoring image.
The specific process for judging whether the turbidity of the task fluid meets the test precision requirement of the monitoring object comprises the steps of judging that the turbidity of the task fluid does not meet the test precision requirement of the monitoring object if the turbidity early-warning coefficient is smaller than the turbidity limiting value, generating an accuracy early-warning signal and sending the accuracy early-warning signal to a mobile phone terminal of a manager through an operation early-warning platform, and judging that the turbidity of the task fluid meets the test precision requirement of the monitoring object if the turbidity early-warning coefficient is larger than or equal to the turbidity limiting value.
The method comprises the specific processes that a stability evaluation module evaluates and analyzes the running stability of a flow measuring instrument for water acoustic detection, wherein the specific processes comprise the steps of acquiring a flow value of task fluid in real time and marking the flow value as a flow monitoring value in the process that a monitoring object executes a flow measuring task, forming a monitoring period by two adjacent monitoring time points, acquiring difference data LC, interval data JG and floating data FD at the ending time of the monitoring period, carrying out numerical calculation to obtain a stability coefficient WD of the monitoring object in the monitoring period, and judging whether the running stability of the monitoring object in the monitoring period meets the requirement or not through the stability coefficient WD.
Further, the acquisition process of the differential data LC comprises the steps of marking the maximum value and the minimum value of the flow monitoring value in the monitoring period as high value and low value respectively, marking the difference value of the high value and the low value as the differential data LC, and the interval data JG as the time interval of the corresponding time points of the high value and the low value in the monitoring period.
Further, the specific process of judging whether the running stability of the monitoring object in the monitoring period meets the requirement or not comprises the steps of acquiring a stability threshold WDmax through a database, comparing a stability coefficient WD of the monitoring period with the stability threshold WDmax, judging that the running stability of the monitoring object in the monitoring period meets the requirement if the stability coefficient WD is smaller than the stability threshold WDmax, judging that the running stability of the monitoring object in the monitoring period does not meet the requirement if the stability coefficient WD is larger than or equal to the stability threshold WDmax, generating a stability abnormal signal and sending the stability abnormal signal to a mobile phone terminal of a manager through a running early warning platform.
The invention has the following beneficial effects:
1. The accuracy testing module can be used for carrying out accuracy testing analysis on the flow measuring instrument for water acoustic detection, in view of certain requirements of the ultrasonic flowmeter on suspended particles or bubble concentration in the fluid, the flow measuring module is not suitable for application characteristics of transparent or fluid without suspended particles, and the accuracy testing module is used for comprehensively analyzing the flow measuring error and the fluid turbidity to obtain a turbidity critical value under the condition of ensuring the testing accuracy of a test object, so that a data support is provided for accuracy early warning analysis;
2. The accuracy early warning module can carry out accuracy monitoring early warning analysis on the flow measuring instrument for the hydroacoustic detection, whether the accuracy guarantee range of a monitored object is met or not is judged by regularly monitoring the turbidity early warning coefficient of the fluid to be measured, the measurement accuracy of the monitored object is lower in external influence degree, but the accuracy is closely related to the clarity degree of the fluid to be measured, and the measurement accuracy of the monitored object can be ensured by carrying out turbidity monitoring on the fluid to be measured on the premise of carrying out accuracy test analysis regularly;
3. The stability evaluation module can evaluate and analyze the running stability of the flow measuring instrument for the water acoustic detection, process the output value of the monitored object to obtain a plurality of running stability parameters, comprehensively analyze and calculate the running stability parameters to obtain stability coefficients, feed back the running stability of the monitored object according to the stability coefficients, and timely feed back and early warn when the stability abnormality occurs.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
According to the first embodiment, as shown in fig. 1, the operation early warning system of the flow measuring instrument for water acoustic detection based on data analysis comprises an operation early warning platform, wherein the operation early warning platform is in communication connection with a precision testing module, a precision early warning module, a stability evaluation module and a database.
The ultrasonic flowmeter has certain requirements on suspended particles or bubble concentration in fluid, is not suitable for transparent or fluid without suspended particles, has non-contact measurement and application characteristics of not interfering fluid flow, has lower probability of sudden faults in view of a measurement mode of non-contact measurement, has higher correlation between the whole measurement precision and the clarity degree of the measured fluid and the loading stability of an unmanned plane, and therefore has lower applicability to the ultrasonic flowmeter in the traditional precision monitoring method.
The precision test module is used for periodically carrying out precision test analysis on a flow meter for water acoustic detection, marking the ultrasonic flowmeter for water acoustic detection as a test object, carrying out test analysis on the test object for a plurality of times, wherein each test analysis process comprises a plurality of test time points, carrying the test object on an unmanned aerial vehicle, collecting the flow value of test fluid through a Doppler radar, marking the flow value as a flow test value, obtaining the flow value of the test fluid through a calibrated contact flow tester at the test time point, marking the absolute value of the difference value between the flow check value and the flow test value at the test time point as the test error value at the test time point, carrying out image shooting on the test fluid through a high-definition camera carried by the unmanned aerial vehicle at the test time point to obtain a test image, amplifying the test image into pixel grid images, carrying out gray conversion, calling the pixel grid with a turbidity gray level threshold and the test error threshold through a database, marking the pixel grid with the gray level smaller than the turbidity gray level in the test image as a turbidity grid, marking the ratio of the number of the turbidity grid to the total number of the pixel grid in the test image as the turbidity coefficient of the test image; marking the minimum value of the turbidity coefficient of the test time point with the test error value not larger than the test error threshold value in the test analysis process as the turbidity critical value in the test analysis process, forming a critical set by the turbidity critical values in all the test analysis processes, performing data cleaning processing on the critical set, performing variance calculation on all elements in the critical set to obtain a concentration coefficient, acquiring the concentration threshold value through a database, comparing the concentration coefficient with the concentration threshold value, judging that the data cleaning processing is completed if the concentration coefficient is smaller than the concentration threshold value, the method comprises the steps of marking the minimum element in a critical set as a turbidity limit value of a test object, updating the turbidity limit value of the test object regularly, eliminating the maximum element and the minimum element in the critical set if the concentration coefficient is larger than or equal to the concentration threshold value, then recalculating the concentration coefficient of the critical set until the concentration coefficient is smaller than the concentration threshold value, obtaining the turbidity limit value of the test object through a database, comparing the turbidity limit value of the test object with the turbidity limit value, judging that the test object passes precision test analysis if the turbidity limit value is smaller than the turbidity limit value, judging that the test object does not pass precision test analysis if the turbidity limit value is larger than or equal to the turbidity limit value, generating a pretreatment signal and sending the pretreatment signal to a mobile phone terminal of a manager through an operation early warning platform, storing the turbidity limit value of all the test objects passing the precision test analysis in the database through the operation early warning platform, and comprehensively analyzing the turbidity limit value of the fluid according to the fact that the ultrasonic flowmeter has certain requirements on suspended particles or bubble concentration in the fluid, and is not suitable for transparent or fluid without suspended particles, obtaining the turbidity value under the condition that the precision of the test object is guaranteed by comprehensively analyzing the turbidity limit value, and providing precision data for the critical analysis support and the precision data.
The precision early warning module is used for carrying out precision monitoring early warning analysis on a flow measuring instrument for water acoustic detection, when a test object passes through precision testing analysis and carries out a flow measuring task, the test object is marked as a monitoring object, a plurality of monitoring time points are generated in the process of carrying out the flow measuring task on the monitoring object, an unmanned aerial vehicle carried high-definition camera is used for carrying out image shooting on task fluid, the shot image is marked as a monitoring image, the monitoring image is amplified into a pixel grid image and subjected to gray level conversion, the pixel grid with the gray level value smaller than a turbidity gray level threshold value in the monitoring image is marked as an early warning grid, the ratio of the number of the early warning grids in the monitoring image to the number of all the pixel grids is marked as a turbidity early warning coefficient of the monitoring image, the turbidity limit value of the monitoring object is obtained through a database, and the turbidity early warning coefficient is compared with the turbidity limit value; and judging whether the turbidity of the task fluid meets the test precision requirement of the monitoring object or not by regularly monitoring the turbidity early-warning coefficient of the measured fluid, wherein the measurement precision of the monitoring object is lower in external influence degree, but is closely related to the clarity degree of the measured fluid, and the measurement precision of the monitoring object can be ensured by monitoring the turbidity of the measured fluid on the premise of periodically carrying out precision test analysis.
The stability evaluation module is used for evaluating and analyzing the running stability of the flow measuring instrument for the underwater acoustic detection, and is used for acquiring the flow value of task fluid in real time and marking the flow value as a flow monitoring value in the process of executing a flow measuring task on a monitored object, forming a monitoring period by two adjacent monitoring time points, acquiring difference data LC, interval data JG and floating data FD at the ending time of the monitoring period, wherein the acquisition process of the difference data LC comprises the steps of marking the maximum value and the minimum value of the flow monitoring value in the monitoring period as a high value and a low value respectively, and marking the difference value of the high value and the low value as difference data LC; the interval data JG is the time interval of the corresponding time point of the high value and the low value in the monitoring period, the acquisition process of the floating data FD comprises the steps of marking the average value of the flow monitoring value in the monitoring period as a flow average value, forming an upper float period by the continuous time length of the flow monitoring value which is larger than the flow average value, forming a lower float period by the continuous time length of the flow monitoring value which is smaller than the flow average value, marking the sum of the number of the upper float periods and the number of the lower float periods in the monitoring period as the floating data FD, obtaining the stability coefficient WD of the monitoring object in the monitoring period by a formula WD= (k1+k2X FD)/(k3X JFG), wherein k1, k2 and k3 are all proportional coefficients, and k3> k2> k1, acquiring a stability threshold WDmax by a database, comparing the stability coefficient WD of the monitoring period with the stability threshold WDmax, judging that the running stability requirement of the monitoring object in the monitoring period is met if the stability coefficient WD is smaller than the stability threshold WDmax, judging that the running stability requirement of the monitoring object in the monitoring period is not met, the method comprises the steps of generating a stability abnormal signal, sending the stability abnormal signal to a mobile phone terminal of a manager through an operation early warning platform, processing output values of a monitoring object to obtain a plurality of operation stability parameters, comprehensively analyzing and calculating the operation stability parameters to obtain stability coefficients, feeding back the operation stability degree of the monitoring object according to the stability coefficients, and further feeding back and early warning in time when the stability abnormality occurs.
In the second embodiment, as shown in fig. 2, the method for pre-warning running of the flow meter for water acoustic detection based on data analysis comprises the following steps:
Marking an ultrasonic flowmeter for water acoustic detection as a test object, carrying out test analysis on the test object for a plurality of times to obtain turbidity critical values in a test analysis process;
When a test object passes the precision test analysis and executes a flow measurement task, marking the test object as a monitoring object, acquiring a turbidity early-warning coefficient at regular time when the monitoring object executes the flow measurement task, and judging whether the turbidity of task fluid meets the requirement or not through the turbidity early-warning coefficient;
And thirdly, evaluating and analyzing the operation stability of the flow measuring instrument for the underwater acoustic detection, namely forming a monitoring period by two adjacent monitoring time points, acquiring a stability coefficient WD of the monitoring period, and judging whether the operation stability of a monitored object meets the requirement or not through the stability coefficient WD.
The method comprises the steps that a flow measuring instrument for water acoustic detection based on data analysis operates an early warning system, and when the flow measuring instrument for water acoustic detection works, an ultrasonic flowmeter for water acoustic detection is marked as a test object, test analysis is carried out on the test object for a plurality of times, and a turbidity critical value in a test analysis process is obtained; the method comprises the steps of forming a critical set by turbidity critical values in all test analysis processes, carrying out data cleaning treatment on the critical set to obtain turbidity limit values of a test object, marking the test object as a monitoring object when the test object passes precision test analysis and executes a flow measurement task, acquiring a turbidity early warning coefficient at fixed time when the monitoring object executes the flow measurement task, judging whether the turbidity of task fluid meets the requirement or not through the turbidity early warning coefficient, forming a monitoring period by two adjacent monitoring time points, acquiring a stability coefficient WD of the monitoring period, and judging whether the running stability of the monitoring object meets the requirement or not through the stability coefficient WD.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formula is obtained by collecting a large amount of data for software simulation, and selecting a formula close to a true value, wherein coefficients in the formula are set according to actual conditions by a person skilled in the art, such as a formula WD= (k1+k2+FD)/(k3×JG), wherein a person skilled in the art collects a plurality of groups of sample data and sets a corresponding stable coefficient for each group of sample data;
The size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding stable coefficient preliminarily set for each group of sample data by a person skilled in the art, so long as the proportional relation between the parameter and the quantized numerical value is not influenced, for example, the stable coefficient is in direct proportion to the numerical value of the difference data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The flow measurement instrument operation early warning system for the water acoustic detection based on data analysis is characterized by comprising an operation early warning platform, wherein the operation early warning platform is in communication connection with a precision test module, a precision early warning module, a stability evaluation module and a database;
The precision test module is used for carrying out precision test analysis on the flow measuring instrument for the water acoustic detection, marking the ultrasonic flowmeter for the water acoustic detection as a test object, carrying out test analysis on the test object for a plurality of times and obtaining turbidity critical values of the test object in each test analysis process;
The precision early warning module is used for carrying out precision monitoring early warning analysis on a flow measuring instrument for water acoustic detection, when a test object passes through precision testing analysis and executes a flow measuring task, marking the test object as a monitoring object, generating a plurality of monitoring time points in the process of executing the flow measuring task by the monitoring object, acquiring a turbidity early warning coefficient of a task fluid at the monitoring time points, calling a turbidity limit value of the monitoring object through a database, comparing the turbidity early warning coefficient with the turbidity limit value, and judging whether the turbidity of the task fluid meets the test precision requirement of the monitoring object or not through a comparison result;
the stability evaluation module is used for evaluating and analyzing the operation stability of the flow meter for the water acoustic detection.
2. The flow meter operation early warning system for the water acoustic detection based on data analysis according to claim 1 is characterized in that the acquisition process of the turbidity critical value of a test object in the test analysis process comprises the steps that each test analysis process comprises a plurality of test time points, the test object is carried on an unmanned aerial vehicle, the flow value of test fluid is collected through Doppler radar and marked as a flow test value, the test error value and the turbidity coefficient of the test object are obtained at the test time points, the turbidity gray level threshold value and the test error threshold value are called through a database, and the turbidity coefficient minimum value of the test time points, in which the test error value is not greater than the test error threshold value in the test analysis process, is marked as the turbidity critical value of the test analysis process.
3. The flow meter operation early warning system for the water acoustic detection based on data analysis according to claim 2 is characterized in that the acquisition process of the test error value and the turbidity coefficient of the test object at the test time point comprises the steps of acquiring the flow value of the test fluid through the checked contact flow tester, marking the flow value as the flow check value, marking the absolute value of the difference value between the flow check value and the flow test value at the test time point as the test error value at the test time point, shooting the test fluid through a high-definition camera carried by the unmanned aerial vehicle at the test time point to obtain a test image, amplifying the test image into a pixel grid image, carrying out gray level conversion, marking the pixel grid with the gray level value smaller than a turbidity gray level threshold value in the test image as a turbidity grid, and marking the ratio of the number of the turbidity grids in the test image to the total number of the pixel grids as the turbidity coefficient of the test image.
4. The data analysis-based flow measurement instrument operation early warning system for water acoustic detection according to claim 3 is characterized in that the specific process of performing data cleaning treatment on the critical set comprises the steps of performing variance calculation on all elements in the critical set to obtain a concentration coefficient, acquiring a concentration threshold value through a database, comparing the concentration coefficient with the concentration threshold value, judging that the data cleaning treatment is completed if the concentration coefficient is smaller than the concentration threshold value, marking the smallest element in the critical set as a turbidity limit value of a test object, eliminating the largest element and the smallest element in the critical set if the concentration coefficient is larger than or equal to the concentration threshold value, and then re-calculating the concentration coefficient of the critical set until the concentration coefficient is smaller than the concentration threshold value.
5. The data analysis-based flow measurement instrument operation early warning system for hydroacoustic detection according to claim 4, wherein the specific process of judging whether the test object passes through the precision test analysis comprises the steps of acquiring a turbidity definition threshold value through a database, comparing the turbidity definition value of the test object with the turbidity definition threshold value, judging that the test object passes through the precision test analysis if the turbidity definition value is smaller than the turbidity definition threshold value, judging that the test object does not pass through the precision test analysis if the turbidity definition value is larger than or equal to the turbidity definition threshold value, generating a preprocessing signal and sending the preprocessing signal to a mobile phone terminal of a manager through an operation early warning platform.
6. The flow measurement instrument operation early warning system for the water acoustic detection based on data analysis according to claim 5 is characterized in that the acquisition process of the turbidity early warning coefficient of the task fluid at the monitoring time point comprises the steps of shooting an image of the task fluid through a high-definition camera carried by an unmanned aerial vehicle, marking the shot image as a monitoring image, amplifying the monitoring image as a pixel grid image, carrying out gray level conversion, marking the pixel grid with the gray level value smaller than a turbidity gray level threshold value in the monitoring image as early warning grids, and marking the ratio of the number of the early warning grids to the number of all the pixel grids in the monitoring image as the turbidity early warning coefficient of the monitoring image.
7. The data analysis-based flow measurement instrument operation early warning system for hydroacoustic detection of claim 6, wherein the specific process of judging whether the turbidity of the task fluid meets the test precision requirement of the monitoring object comprises judging that the turbidity of the task fluid does not meet the test precision requirement of the monitoring object if the turbidity early warning coefficient is smaller than a turbidity limit value, generating an accuracy early warning signal and sending the accuracy early warning signal to a mobile phone terminal of a manager through an operation early warning platform, and judging that the turbidity of the task fluid meets the test precision requirement of the monitoring object if the turbidity early warning coefficient is greater than or equal to the turbidity limit value.
8. The operation early warning system of the flow meter for the water acoustic detection based on data analysis according to claim 7, wherein the specific process of the stability evaluation module for evaluating and analyzing the operation stability of the flow meter for the water acoustic detection comprises the steps of acquiring the flow value of the task fluid in real time and marking the flow value as a flow monitoring value in the process of executing the flow measuring task by a monitoring object, forming a monitoring period by two adjacent monitoring time points, acquiring the difference data LC, the interval data JG and the floating data FD at the ending time of the monitoring period, carrying out numerical calculation to obtain the stability coefficient WD of the monitoring object in the monitoring period, and judging whether the operation stability of the monitoring object in the monitoring period meets the requirement or not by the stability coefficient WD.
9. The flow meter operation pre-warning system for water acoustic detection based on data analysis according to claim 8, wherein the acquisition process of the difference data LC includes marking a maximum value and a minimum value of the flow monitor value in the monitor period as a high value and a low value, respectively, marking a difference value of the high value and the low value as the difference data LC, and the interval data JG is a time interval of a corresponding time point of the high value and the low value in the monitor period, the acquisition process of the floating data FD includes marking an average value of the flow monitor value in the monitor period as a flow average value, forming an upper float period by a continuous time period in which the flow monitor value is larger than the flow average value, forming a lower float period by a continuous time period in which the flow monitor value is smaller than the flow average value, and marking a sum of the number of the upper float periods and the number of the lower float periods in the monitor period as the floating data FD.
10. The data analysis-based flow measurement instrument operation early warning system for hydroacoustic detection according to claim 9, wherein the specific process of judging whether the operation stability of the monitoring object in the monitoring period meets the requirement comprises the steps of acquiring a stability threshold WDmax through a database, comparing a stability coefficient WD of the monitoring period with the stability threshold WDmax, judging that the operation stability of the monitoring object in the monitoring period meets the requirement if the stability coefficient WD is smaller than the stability threshold WDmax, judging that the operation stability of the monitoring object in the monitoring period does not meet the requirement if the stability coefficient WD is larger than or equal to the stability threshold WDmax, generating a stability abnormal signal and sending the stability abnormal signal to a mobile phone terminal of a manager through an operation early warning platform.
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