Multi-parameter fusion ultrasonic water meter intelligent calibration system

Abstract

The invention discloses a multi-parameter fusion ultrasonic water meter intelligent calibration system which comprises an ultrasonic sensor module used for collecting ultrasonic signals of water flow, including flow velocity, flow, temperature and pressure parameters; the data processing module is used for receiving the data acquired by the ultrasonic sensor module and carrying out preprocessing and feature extraction; the multi-parameter fusion module is used for fusing the extracted characteristic parameters to generate comprehensive calibration parameters; the intelligent calibration module is used for dynamically adjusting the calibration coefficient of the water meter according to the comprehensive calibration parameters to realize intelligent calibration; and the communication module is used for carrying out data exchange with external equipment to realize remote monitoring and calibration. Calibration is carried out by fusing various parameters such as the flow velocity, the flow, the temperature and the pressure, the limitation of single parameter calibration is overcome, and the calibration precision is improved; the intelligent calibration module is adopted, dynamic adjustment is conducted according to real-time data, the water meter adapts to complex water flow conditions, and the measurement stability of the water meter is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of water meter calibration, and in particular to a multi-parameter fusion ultrasonic water meter intelligent calibration system. Background Art

[0002] Ultrasonic water meter is a water meter that uses ultrasonic technology to measure flow rate and has the advantages of high accuracy and good stability.

[0003] However, during the use of ultrasonic water meters, the measurement accuracy may decrease due to the influence of factors such as ambient temperature, water quality, and flow rate. Existing ultrasonic water meter calibration systems usually only consider a single parameter, such as flow rate, and fail to fully consider other influencing factors, resulting in poor calibration results. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In view of the above problems existing in the existing ultrasonic water meters, the present invention is proposed.

[0006] Therefore, the technical problem solved by the present invention is to solve the problem that the existing ultrasonic water meter fails to fully consider other influencing factors, resulting in poor calibration effect.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a multi-parameter fusion ultrasonic water meter intelligent calibration system, comprising the following components: an ultrasonic sensor module: used to collect ultrasonic signals of water flow, including flow velocity, flow rate, temperature, and pressure parameters; a data processing module: receiving the data collected by the ultrasonic sensor module, and performing preprocessing and feature extraction; a multi-parameter fusion module: fusing the extracted feature parameters to generate comprehensive calibration parameters; an intelligent calibration module: dynamically adjusting the calibration coefficient of the water meter according to the comprehensive calibration parameters to achieve intelligent calibration; a communication module: used to exchange data with external devices to achieve remote monitoring and calibration.

[0008] As a preferred solution of the multi-parameter fusion ultrasonic water meter intelligent calibration system of the present invention, before calculation, data preprocessing is required to screen out data with strong independence; the steps of the data preprocessing method are: real-time test, data integrity check, data integration, missing item processing, data analysis to find abnormal data and orthogonality test; That is: take the third point in the data set point series as the current point, calculate the characteristic factor k of the instantaneous flow at the current point and the five-point mean of the two points before and after, where k = vexp / Δt; judge Is it greater than 2(max-min) / 3: If so, remove the current point from the data set; otherwise, repeat the above steps with the 4th point in the point column as the current point; max and min are the maximum and minimum values ​​of the characteristic factor k of the instantaneous flow of all points in the data point column respectively; and so on, until the n-2th point in the point column is used as the current point, the preprocessing is completed; n is the total number of points.

[0009] As a preferred solution of the multi-parameter fusion ultrasonic water meter intelligent calibration system described in the present invention, the feature extraction specifically includes the following steps: through the experimental platform, the flow is controlled to change continuously between Q1 and Q4 at an unfixed frequency, and the ultrasonic water meter data in the collection process is used as a data set; the interference factors affecting the accuracy of the smart water meter are defined and multiple test groups are set, including a single factor test group and a compound factor test group, and multiple conventional interference factor gradients are set in each single factor test group; the forward and reverse propagation time of the water body passing through the position of the smart water meter under each conventional interference factor gradient in the multiple test groups is obtained; the three single factor tests of temperature drift, zero drift and mechanical vibration are respectively tested. The filtered processed data of the group are analyzed independently to obtain the temperature drift error coefficient, zero drift error coefficient and vibration error coefficient; the weights of the above error coefficients in the composite scenario are allocated in combination with the data of the composite factor test group, so as to match the reading deviation rate of the smart water meter, and then the final weight allocation and the influence coefficient of temperature factor and mechanical vibration factor on zero drift are obtained; the reading deviation rate is corrected by using the subjective interference factor of water use regularity to obtain the corrected smart water meter reading; in the actual use scenario, the corresponding three error coefficients are determined according to the interference factors in the actual environment, and the reading deviation coefficient of the smart water meter is obtained in combination with steps five and six, and the reading is corrected.

[0010] As a preferred solution of the multi-parameter fusion ultrasonic water meter intelligent calibration system described in the present invention, the data set includes the propagation time difference of the upstream and downstream receiving signals of the ultrasonic water meter to be calibrated and the instantaneous flow of the standard meter.

[0011] As a preferred solution of the multi-parameter fusion ultrasonic water meter intelligent calibration system described in the present invention, it also includes filtering the data obtained in step 2, including threshold filtering, sliding filtering and Kalman filtering.

[0012] As a preferred solution of the multi-parameter fusion ultrasonic water meter intelligent calibration system described in the present invention, wherein: the conventional interference factor gradient corresponding to the temperature drift is set in the range of 5°C to 30°C with a temperature gradient of 5°C per temperature gradient; the conventional interference factor gradient corresponding to the zero drift is set according to different pipeline cross-sectional flow rates; the conventional interference factor gradient corresponding to the mechanical vibration is set according to the vibration level of the mechanical vibration noise source and the distance between the noise source and the intelligent water meter under different pipeline materials.

[0013] As a preferred solution of the multi-parameter fusion ultrasonic water meter intelligent calibration system of the present invention, the step of analyzing the single factor test group of temperature drift includes: Construct the relationship between the speed of sound waves in water and the temperature of water within a certain temperature range: , where k is the temperature coefficient, ranging from 1.45 to 1.85, and T is the current water temperature; Calculate the speed of sound waves at the corresponding temperature of the current test group; Calculate the average value, median value and standard deviation of the error rate obtained under each temperature gradient, and select the average value or median value of the error rate as the error rate under the temperature gradient according to the comparison result between the standard deviation and the set threshold value; The absolute distance between the error rates of any two temperature gradients is calculated. When the absolute distance is less than the set value, the two pairs of temperature gradients are combined to form a temperature interval, and the temperature drift coefficient of the temperature interval is obtained by weighted average. The weight is related to the distribution probability of each temperature gradient in the actual scene.

[0014] The present invention provides a multi-parameter fusion ultrasonic water meter intelligent calibration system, which has the following beneficial effects: Multi-parameter fusion: The present invention performs calibration by fusing multiple parameters such as flow rate, flow rate, temperature and pressure, thus overcoming the limitation of single parameter calibration and improving calibration accuracy; Intelligent dynamic adjustment: The present invention adopts an intelligent calibration module to make dynamic adjustments based on real-time data, adapt to complex water flow conditions, and improve the measurement stability of the water meter; Remote monitoring: The present invention realizes remote monitoring and calibration through a communication module, which facilitates the maintenance and management of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them: Figure 1This is a system module diagram of the multi-parameter fusion ultrasonic water meter intelligent calibration system provided by the present invention.

[0016] Figure 2 This is a flow chart of the feature extraction method provided by the present invention.

[0017] Figure 3 A flow chart of a method for analyzing a single factor test group for temperature drift provided by the present invention. DETAILED DESCRIPTION

[0018] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0019] Existing ultrasonic water meter calibration systems usually only consider a single parameter, such as flow rate, and fail to fully consider other influencing factors, resulting in poor calibration results.

[0020] Therefore, please refer to Figure 1 The present invention provides a multi-parameter fusion ultrasonic water meter intelligent calibration system, which is characterized by comprising the following components: Ultrasonic sensor module: used to collect ultrasonic signals of water flow, including flow velocity, flow rate, temperature, and pressure parameters; Data processing module: receives data collected by the ultrasonic sensor module, performs preprocessing and feature extraction; Multi-parameter fusion module: fuses the extracted feature parameters to generate comprehensive calibration parameters; Intelligent calibration module: dynamically adjust the calibration coefficient of the water meter according to the comprehensive calibration parameters to achieve intelligent calibration; Communication module: used to exchange data with external devices to achieve remote monitoring and calibration.

[0021] Specifically, before calculation, data preprocessing is required to screen out data with strong independence; the steps of data preprocessing method are: real-time test, data integrity check, data integration, missing item processing, data analysis to find abnormal data and orthogonality test; That is: take the third point in the data set point series as the current point, calculate the characteristic factor k of the instantaneous flow at the current point and the five-point mean of the two points before and after, where k = v exp / Δt; judge Is it greater than 2(max-min) / 3: If so, remove the current point from the data set, otherwise repeat the above steps with the fourth point in the point column as the current point; where max and min are the maximum and minimum values ​​of the characteristic factor k of the instantaneous flow of all points in the data point column respectively; And so on, until the above steps are repeated with the n-2th point in the point sequence as the current point, and the preprocessing is completed; Where n is the total number of points.

[0022] For further information, see Figure 2 , feature extraction includes the following steps: Through the experimental platform, the flow rate is controlled to change continuously between Q1 and Q4 at an unfixed frequency, and the ultrasonic water meter data during the collection process is used as a data set; Define the interference factors that affect the accuracy of smart water meters and set multiple test groups, including single-factor test groups and compound-factor test groups. In each single-factor test group, set multiple conventional interference factor gradients; Obtain the upstream and downstream propagation time of water passing through the smart water meter location under the gradient of each conventional interference factor in multiple test groups; The filtered processing data of the three single-factor test groups of temperature drift, zero drift and mechanical vibration were analyzed independently to obtain the temperature drift error coefficient, zero drift error coefficient and vibration error coefficient; Combined with the data of the composite factor test group, the above error coefficients are weighted in the composite scenario to match the reading deviation rate of the smart water meter, and then the final weight distribution and the influence coefficient of temperature and mechanical vibration factors on zero drift are obtained; The reading deviation rate is corrected by using the subjective interference factor of water use regularity to obtain the corrected smart water meter reading; In the actual usage scenario, the three corresponding error coefficients are determined according to the interference factors in the actual environment and the reading deviation coefficient of the smart water meter is obtained by combining steps five and six to correct the reading.

[0023] The data set includes the propagation time difference of the upstream and downstream receiving signals of the ultrasonic water meter to be calibrated and the instantaneous flow of the standard meter.

[0024] Additionally, the data acquired in step 2 is filtered, including threshold filtering, sliding filtering and Kalman filtering.

[0025] Furthermore, the conventional interference factor gradient corresponding to temperature drift is set in the range of 5°C to 30°C with a temperature gradient of 5°C; the conventional interference factor gradient corresponding to zero drift is set according to different pipeline cross-sectional flow rates; the conventional interference factor gradient corresponding to mechanical vibration is set according to different pipeline materials, adjusting the vibration level of the mechanical vibration noise source and the distance between the noise source and the smart water meter.

[0026] For further information, see Figure 3 , the steps for analyzing a single factor test group for temperature drift include: Construct the relationship between the speed of sound waves in water and the temperature of water within a certain temperature range: , where k is the temperature coefficient, ranging from 1.45 to 1.85, and T is the current water temperature; Calculate the speed of sound waves at the corresponding temperature of the current test group; Calculate the average value, median value and standard deviation of the error rate obtained under each temperature gradient, and select the average value or median value of the error rate as the error rate under the temperature gradient according to the comparison result between the standard deviation and the set threshold value; The absolute distance between the error rates of any two temperature gradients is calculated. When the absolute distance is less than the set value, the two pairs of temperature gradients are combined to form a temperature interval, and the temperature drift coefficient of the temperature interval is obtained by weighted average. The weight is related to the distribution probability of each temperature gradient in the actual scene.

[0027] In order to verify the beneficial effects of the present invention, the following simulation experiment is now carried out: Purpose Verify the effectiveness of the multi-parameter fusion ultrasonic water meter intelligent calibration system in improving calibration accuracy and measurement stability.

[0028] Experimental equipment Ultrasonic water meter intelligent calibration system based on multi-parameter fusion Experimental platform (for controlling traffic and collecting data) Data processing and analysis software Experimental procedures Preparation before system calibration: Make sure that the ultrasonic water meter intelligent calibration system is installed correctly and all sensor modules and communication modules are functioning properly.

[0029] Data acquisition: On the experimental platform, the flow rate is controlled to change continuously between Q1 and Q4 at an unfixed frequency, and the ultrasonic water meter data at different flow rates are recorded, including flow velocity, flow rate, temperature, pressure, etc.

[0030] Data preprocessing: The collected data is preprocessed according to the method described in the present invention, including real-time verification, data integrity check, data integration, missing item processing, abnormal data discovery and orthogonality verification.

[0031] Feature extraction: Perform feature extraction on the preprocessed data, including calculating the characteristic factor k and the five-point mean.

[0032] Multi-parameter fusion: The extracted feature parameters are fused to generate comprehensive calibration parameters.

[0033] Intelligent calibration: Dynamically adjust the calibration coefficient of the water meter based on comprehensive calibration parameters.

[0034] Data Verification: Collect data using the adjusted calibration factor under the same flow conditions and compare with the data before calibration.

[0035] Data table example The following is an example of a simplified data table to express the experimental results: Note: The error rate is obtained by comparing with the standard flow value.

[0036] By comparing the flow rate errors before and after calibration, it can be seen that the multi-parameter fusion ultrasonic water meter intelligent calibration system significantly improves the measurement accuracy and reduces the error rate under various flow conditions. This proves the effectiveness and excellent technical effect of the solution of the present invention.

[0037] The present invention provides a multi-parameter fusion ultrasonic water meter intelligent calibration system, which has the following beneficial effects: Multi-parameter fusion: The present invention performs calibration by fusing multiple parameters such as flow rate, flow rate, temperature and pressure, thus overcoming the limitation of single parameter calibration and improving calibration accuracy; Intelligent dynamic adjustment: The present invention adopts an intelligent calibration module to make dynamic adjustments based on real-time data, adapt to complex water flow conditions, and improve the measurement stability of the water meter; Remote monitoring: The present invention realizes remote monitoring and calibration through a communication module, which facilitates the maintenance and management of the system.

[0038] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A multi-parameter fusion ultrasonic water meter intelligent calibration system, characterized in that: Includes the following components: Ultrasonic sensor module: used to collect ultrasonic signals of water flow, including flow velocity, flow rate, temperature, and pressure parameters; Data processing module: receives data collected by the ultrasonic sensor module, performs preprocessing and feature extraction; Multi-parameter fusion module: fuses the extracted feature parameters to generate comprehensive calibration parameters; Intelligent calibration module: dynamically adjust the calibration coefficient of the water meter according to the comprehensive calibration parameters to achieve intelligent calibration; Communication module: used to exchange data with external devices to achieve remote monitoring and calibration.

2. The multi-parameter fusion ultrasonic water meter intelligent calibration system according to claim 1 is characterized in that: Before calculation, data preprocessing is required to screen out data with strong independence; the steps of data preprocessing are: real-time test, data integrity check, data integration, missing item processing, data analysis to find abnormal data and orthogonality test; That is: take the third point in the data set point sequence as the current point, calculate the characteristic factor k of the instantaneous flow at the current point and the five-point mean of the two points before and after, where k = v exp / Δt; judge Is it greater than 2(max-min) / 3: If so, remove the current point from the data set, otherwise repeat the above steps with the fourth point in the point column as the current point; where max and min are the maximum and minimum values ​​of the characteristic factor k of the instantaneous flow of all points in the data point column respectively; And so on, until the above steps are repeated with the n-2th point in the point sequence as the current point, and the preprocessing is completed; Where n is the total number of points.

3. The multi-parameter fusion ultrasonic water meter intelligent calibration system according to claim 2 is characterized in that: Feature extraction includes the following steps: Through the experimental platform, the flow rate is controlled to change continuously between Q1 and Q4 at an unfixed frequency, and the ultrasonic water meter data during the collection process is used as a data set; Define the interference factors that affect the accuracy of smart water meters and set multiple test groups, including single-factor test groups and compound-factor test groups. In each single-factor test group, set multiple conventional interference factor gradients; Obtain the upstream and downstream propagation time of water passing through the smart water meter location under the gradient of each conventional interference factor in multiple test groups; The filtered processing data of the three single-factor test groups of temperature drift, zero drift and mechanical vibration were analyzed independently to obtain the temperature drift error coefficient, zero drift error coefficient and vibration error coefficient; Combined with the data of the composite factor test group, the above error coefficients are weighted in the composite scenario to match the reading deviation rate of the smart water meter, and then the final weight distribution and the influence coefficient of temperature and mechanical vibration factors on zero drift are obtained; The reading deviation rate is corrected by using the subjective interference factor of water use regularity to obtain the corrected smart water meter reading; In the actual usage scenario, the three corresponding error coefficients are determined according to the interference factors in the actual environment and the reading deviation coefficient of the smart water meter is obtained by combining steps five and six to correct the reading.

4. The multi-parameter fusion ultrasonic water meter intelligent calibration system according to claim 3 is characterized by: The data set contains the propagation time difference of the upstream and downstream received signals of the ultrasonic water meter to be calibrated and the instantaneous flow rate of the standard meter.

5. The multi-parameter fusion ultrasonic water meter intelligent calibration system according to claim 4 is characterized in that: It also includes filtering the data acquired in step 2, including threshold filtering, sliding filtering and Kalman filtering.

6. The multi-parameter fusion ultrasonic water meter intelligent calibration system according to claim 5 is characterized in that: The conventional interference factor gradient corresponding to the temperature drift is set in the range of 5°C to 30°C with a temperature gradient of 5°C; the conventional interference factor gradient corresponding to the zero drift is set according to different pipeline cross-sectional flow rates; the conventional interference factor gradient corresponding to the mechanical vibration is set according to the vibration level of the mechanical vibration noise source and the distance between the noise source and the smart water meter under different pipeline materials.

7. The multi-parameter fusion ultrasonic water meter intelligent calibration system according to claim 6 is characterized in that: The steps of analyzing the single factor test group for the temperature drift include: Construct the relationship between the speed of sound waves in water and the temperature of water within a certain temperature range: , where k is the temperature coefficient, ranging from 1.45 to 1.85, and T is the current water temperature; Calculate the speed of sound waves at the corresponding temperature of the current test group; Calculate the average value, median value and standard deviation of the error rate obtained under each temperature gradient, and select the average value or median value of the error rate as the error rate under the temperature gradient according to the comparison result between the standard deviation and the set threshold value; The absolute distance between the error rates of any two temperature gradients is calculated. When the absolute distance is less than the set value, the two pairs of temperature gradients are combined to form a temperature interval, and the temperature drift coefficient of the temperature interval is obtained by weighted average. The weight is related to the distribution probability of each temperature gradient in the actual scene.

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