A kind of based on internet of things remote transmission ultrasonic water meter metering calibration method and system

Abstract

The present application relates to the field of metrological calibration, and discloses a kind of long-range ultrasonic water meter metrological calibration method and system based on Internet of Things.The system contains multiple modules: data acquisition module is in real time by Internet of Things Flow, temperature, pressure and state information of ultrasonic water meter are collected;Data preprocessing module cleans, selects and formats the collected data to ensure its accuracy and consistency;Calibration parameter setting module sets flow calibration point, temperature compensation coefficient and other calibration parameters according to water meter technical specifications and calibration standards;Calibration calculation module calibrates data using these parameters;Calibration result verification module compares the calibrated flow data with the standard data to verify whether it is qualified;Result storage and transmission module stores the calibration results in a remote database and transmits them to relevant personnel or systems;Fault detection and alarm module monitors the state of water meter in real time and triggers an alarm if an abnormality is found to notify personnel to handle.

Description

Technical Field

[0001] This invention relates to the field of metrology calibration, and specifically to a method and system for calibrating ultrasonic water meters based on the Internet of Things (IoT). Background Technology

[0002] An ultrasonic water meter is an instrument that uses ultrasonic technology to measure water flow. It features high accuracy, low pressure loss, and low starting flow rate. It uses an ultrasonic transducer to propagate ultrasonic waves through the fluid, and calculates the flow rate by measuring the propagation time of the ultrasonic waves. Because ultrasonic water meters offer the advantage of non-contact measurement, they avoid the accuracy reduction problem caused by long-term wear and tear in traditional mechanical water meters.

[0003] With the continuous development of IoT technology, ultrasonic water meters are gradually being integrated with IoT technology, forming IoT-based ultrasonic water meters. These water meters not only possess all the advantages of ultrasonic water meters but also enable remote monitoring, data transmission, and intelligent management. Through IoT technology, the measurement data from the ultrasonic water meter can be transmitted to a remote management center in real time, facilitating real-time monitoring and data analysis by management personnel.

[0004] While ultrasonic water meters offer high measurement accuracy, their precision may fluctuate over long-term use due to various factors (such as fluid temperature, pressure, and flow rate). Therefore, regular calibration of ultrasonic water meters is necessary to ensure the accuracy of their measurement data. Furthermore, with the widespread application of ultrasonic water meters in water supply systems and the increasing number of meters, traditional manual calibration methods are no longer sufficient for efficient management. Therefore, a method for automatically, quickly, and accurately calibrating ultrasonic water meters is needed.

[0005] Furthermore, the calibration of ultrasonic water meters involves multiple technical aspects, such as data acquisition, data analysis, and fault detection. How to efficiently process this data and accurately determine the operating status of the water meter is a key technical challenge in achieving automated calibration. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for calibrating remote ultrasonic water meters based on the Internet of Things, thereby solving the above-mentioned technical problems.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] An IoT-based remote ultrasonic water meter calibration system includes:

[0009] The data acquisition module collects flow data, temperature data, pressure data, and water meter status information in real time from a remote ultrasonic water meter via the Internet of Things.

[0010] The data preprocessing module is used to clean, filter, and format the collected data to ensure its accuracy and consistency.

[0011] The calibration parameter setting module is used to set calibration parameters according to the technical specifications and calibration standards of the ultrasonic water meter, including flow calibration point, temperature compensation coefficient, pressure compensation coefficient, and calibration coefficient.

[0012] The calibration calculation module uses the set calibration parameters to perform calibration calculations on the preprocessed data to obtain the calibrated flow data.

[0013] The calibration result verification module is used to compare the calibrated flow data with the standard flow data to verify whether the calibration result is qualified.

[0014] The result storage and transmission module is used to store calibration results in the database of the remote management center and transmit the calibration results to relevant management personnel or systems via the Internet of Things;

[0015] The fault detection and alarm module monitors the status information of the ultrasonic water meter in real time during data acquisition and calibration calculation. When an abnormality is detected, the alarm mechanism is triggered to notify relevant personnel for handling.

[0016] As a further technical solution, the flow calibration point It is set indivual, ;

[0017] The temperature compensation coefficient The calculation formula is:

[0018] in, When the temperature is The speed at which ultrasound travels through water. Reference temperature The speed at which ultrasound travels through water. For temperature coefficient, Real-time temperature;

[0019] The pressure compensation coefficient The calculation formula is:

[0020] in, The pressure coefficient, For real-time pressure, For reference pressure.

[0021] As a further technical solution, the calibrated flow data is obtained. The method is as follows:

[0022] Traffic data Temperature data Pressure data and calibration coefficients Substitute into the following formula: ;

[0023] The calibrated flow data was calculated. ;

[0024] in, The cross-sectional area of ​​the pipe. This represents the propagation time of the ultrasound wave.

[0025] As a further technical solution, the working process of the calibration result verification module is as follows:

[0026] Through the formula:

[0027] ;

[0028] Calculate the flow deviation rate ;

[0029] Flow deviation rate Deviation threshold from preset flow rate Compare;

[0030] like If so, the calibration result is deemed unqualified;

[0031] like If the calibration result is satisfactory, then the calibration result is considered acceptable.

[0032] As a further technical solution, the calibration coefficient is obtained. The process is as follows:

[0033] After connecting a standard flow meter in series with an ultrasonic water meter, the flow rate value of the standard flow meter is recorded continuously m times. and the flow rate of the ultrasonic water meter ;

[0034] Through the formula: ;

[0035] The calibration coefficients were calculated. ;

[0036] in, Let be the weighting coefficient for the j-th measurement.

[0037] As a further technical solution, the working process of the fault detection and alarm module is as follows:

[0038] The calculated calibration coefficients and water meter status information are processed to obtain the comprehensive water meter status index. ;

[0039] Then calculate the comprehensive state index of the water meter. Compared with the preset first-level fault warning range Level 2 fault warning range Compare;

[0040] like If so, the fault warning will not be triggered;

[0041] like If so, a low-level fault warning will be triggered, and a routine check will be performed;

[0042] like If so, a mid-level fault warning will be triggered, and a maintenance plan will be arranged;

[0043] like If this occurs, a serious fault warning will be triggered, and the machine will be immediately stopped for inspection.

[0044] As a further technical solution, the comprehensive state index of the water meter is calculated. The process is as follows:

[0045] Retrieve the current operating time of the water meter from the water meter status information. Current battery level of the water meter Current signal strength of the water meter sensor and the current temperature of the water meter ;

[0046] Through the formula: ;

[0047] ;

[0048] ;

[0049] The comprehensive state index of the water meter was calculated. ;

[0050] in, For the design life of the water meter, The water meter battery is fully charged. This represents the maximum signal strength of the water meter sensor. For the first Water meter temperature deviation coefficient for each testing period This refers to the operating temperature range of the water meter. , , , These are the weighting coefficients. The total number of detection time periods. For the first Each testing period This is the influence coefficient.

[0051] As a further technical solution, the influence coefficient The calculation formula is:

[0052] ;

[0053] in, Calibration coefficient Within the time range The average value within, Calibration coefficient Within the time range The curve of change within, For the first The battery level of the water meter at the time of the second sampling. In the time range Number of samplings within.

[0054] A method for calibrating ultrasonic water meters based on the Internet of Things (IoT) is disclosed, which is implemented based on the aforementioned IoT-based remote ultrasonic water meter calibration system.

[0055] The beneficial effects of this invention are:

[0056] (1) The data acquisition module acquires flow rate, temperature, pressure and water meter status information in real time, providing a comprehensive basis for calibration. The calibration parameter setting module accurately sets the flow calibration point, temperature compensation coefficient, pressure compensation coefficient and calibration coefficient according to the water meter technical specifications and calibration standards. By comprehensively considering various factors, the calibration calculation module can accurately correct the measurement error caused by temperature and pressure changes and the characteristics of the water meter itself, so that the calibrated flow rate data is very close to the true value, meeting the high-precision metering requirements and effectively avoiding trade disputes and resource waste caused by inaccurate metering. The system can adjust the calibration parameters in real time according to environmental factors such as temperature and pressure. For example, the temperature compensation coefficient changes in real time in different seasons or areas with large day-night temperature differences, ensuring that the water meter always maintains accurate metering in complex environments, adapting to diverse application scenarios and improving the applicability and reliability of the system.

[0057] (2) The entire process from data acquisition, preprocessing, calibration calculation to result verification is automated; compared with traditional manual calibration, it greatly reduces human intervention and improves calibration efficiency, especially suitable for calibration work of large-scale water meter networks, saving manpower, time and economic costs; at the same time, it reduces the error introduced by human factors and ensures the consistency and stability of calibration results.

[0058] (3) The fault detection and alarm module monitors the water meter status information in real time during data acquisition and calibration calculation. Once an abnormality is detected, such as sensor failure, low battery power, or abnormal flow fluctuation, the alarm mechanism is immediately triggered. This allows the system to detect problems in the early stages of a fault and prevent the fault from escalating and seriously affecting metering accuracy and system operation. Attached Figure Description

[0059] The invention will now be further described with reference to the accompanying drawings.

[0060] Figure 1 This is a system structure block diagram of the present invention. Detailed Implementation

[0061] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0062] Please see Figure 1 As shown, this invention is an IoT-based remote ultrasonic water meter calibration system, comprising:

[0063] The data acquisition module collects flow data, temperature data, pressure data, and water meter status information in real time from a remote ultrasonic water meter via the Internet of Things.

[0064] The data preprocessing module is used to clean, filter, and format the collected data to ensure its accuracy and consistency.

[0065] The calibration parameter setting module is used to set calibration parameters according to the technical specifications and calibration standards of the ultrasonic water meter, including flow calibration point, temperature compensation coefficient, pressure compensation coefficient, and calibration coefficient.

[0066] The calibration calculation module uses the set calibration parameters to perform calibration calculations on the preprocessed data to obtain the calibrated flow data.

[0067] The calibration result verification module is used to compare the calibrated flow data with the standard flow data to verify whether the calibration result is qualified.

[0068] The result storage and transmission module is used to store calibration results in the database of the remote management center and transmit the calibration results to relevant management personnel or systems via the Internet of Things;

[0069] The fault detection and alarm module monitors the status information of the ultrasonic water meter in real time during data acquisition and calibration calculation. When an abnormality is detected, the alarm mechanism is triggered to notify relevant personnel for handling.

[0070] In this embodiment, flow rate data, temperature data, pressure data, and water meter status information are collected in real time from a remote ultrasonic water meter via the Internet of Things; this enables the acquisition of key data affecting the measurement accuracy of the ultrasonic water meter, providing a data foundation for subsequent calibration.

[0071] The collected real-time data reflects various operating conditions of the water meter during actual operation, including factors that may affect measurement accuracy, such as fluid temperature, pressure, and the meter's own condition. Preprocessing the collected data, including cleaning, filtering, and formatting, ensures accuracy and consistency. Since the actual collected data may contain noise, outliers, or inconsistent formats, preprocessing removes these interfering factors, making the data used for calibration reliable and accurate, laying the foundation for subsequent accurate calibration. For example, data cleaning removes data that deviates significantly from the normal range due to sensor malfunctions; data filtering selects valid data based on reasonable threshold ranges; and formatting standardizes the data format for easier subsequent processing. The data preprocessing uses existing technologies, which are readily available to those skilled in the art and will not be elaborated upon further.

[0072] Based on the technical specifications and calibration standards of the ultrasonic water meter, calibration parameters are set, including flow calibration point, temperature compensation coefficient, pressure compensation coefficient, and calibration coefficient. The key parameters required for calibration are determined according to the characteristics of the water meter itself and industry calibration standards. Different models of ultrasonic water meters have different technical specifications and corresponding calibration parameters. By reasonably setting these parameters, the water meter can be calibrated in a targeted manner.

[0073] Then, using the set calibration parameters, the preprocessed data is calibrated to obtain calibrated flow data. Based on the accurate data obtained earlier and the set calibration parameters, the flow data is calibrated using a specific calibration calculation method to correct measurement deviations caused by various factors and ensure the accuracy of the measurement data. For example, by combining temperature compensation coefficients and pressure compensation coefficients, the influence of temperature and pressure on ultrasonic wave propagation is considered to correct the flow data.

[0074] Finally, the calibrated flow data is compared with the standard flow data to verify the accuracy and reliability of the calibration results. By comparing with the standard flow data, it is possible to intuitively determine whether the calibrated flow data is accurate. If the deviation is within the allowable range, it indicates that the calibration results are reliable. If the deviation is too large, it may be necessary to re-check the calibration parameters or whether there are any problems with the data acquisition process.

[0075] The flow calibration point It is set indivual, ;

[0076] The temperature compensation coefficient The calculation formula is: ;

[0077] in, When the temperature is The speed at which ultrasound travels through water. Reference temperature The speed at which ultrasound travels through water. The temperature coefficient was determined based on a combination of historical and empirical data. Real-time temperature;

[0078] The pressure compensation coefficient The calculation formula is:

[0079] ;

[0080] in, The pressure coefficient is determined based on a combination of historical and empirical data. For real-time pressure, For reference pressure.

[0081] Obtain the calibrated flow data The method is as follows:

[0082] Traffic data Temperature data Pressure data and calibration coefficients Substitute into the following formula:

[0083] ;

[0084] The calibrated flow data was calculated. ;

[0085] in, The cross-sectional area of ​​the pipe. This represents the propagation time of the ultrasound wave.

[0086] In this embodiment, by introducing calibration parameters and considering the effects of temperature and pressure on ultrasonic wave propagation speed and fluid state, precise calibration calculations can be performed on the preprocessed data to obtain calibrated flow data. This makes the flow measurement results of the ultrasonic water meter closer to the true value, overcomes the interference of temperature and pressure changes on the measurement, and significantly improves the accuracy of flow measurement. For example, under different seasons or different water supply pressures, the measurement error can be minimized, meeting the requirements of high-precision metering. At the same time, area parameters related to the water meter structure and fluid properties, as well as the propagation time of ultrasonic waves, are incorporated, comprehensively considering various key factors affecting flow measurement. Such comprehensive consideration makes the calibration calculation more scientific and reasonable, ensuring that the calibrated flow data more accurately reflects the actual flow, avoiding measurement deviations caused by insufficient consideration of a single factor, and improving the technical performance of the entire metering calibration system.

[0087] The working process of the calibration result verification module is as follows:

[0088] Through the formula: ;

[0089] Calculate the flow deviation rate ;

[0090] Flow deviation rate Deviation threshold from preset flow rate Compare;

[0091] like If so, the calibration result is deemed unqualified;

[0092] like If the calibration result is satisfactory, then the calibration result is considered acceptable.

[0093] The above formula accurately determines whether the calibration result is qualified or unqualified. If qualified, the ultrasonic water meter is in a qualified calibration state, and its calibration status information in the system is updated so that the system knows that the water meter is currently in a normal calibration state. Simultaneously, based on the qualified data from multiple calibrations, performance evaluation can be performed to analyze the long-term stability and performance trend of the water meter. For example, by analyzing the changes in calibration coefficients across multiple calibrations, it can be assessed whether the water meter's performance is gradually declining or stabilizing. If unqualified, the ultrasonic water meter is in a failed calibration state, triggering an early warning or automatic recalibration.

[0094] Obtain the calibration coefficient The process is as follows:

[0095] After connecting a standard flow meter in series with an ultrasonic water meter, the flow rate value of the standard flow meter is recorded continuously m times. and the flow rate of the ultrasonic water meter ;

[0096] Through the formula: ;

[0097] The calibration coefficients were calculated. ;

[0098] in, Let be the weighting coefficient for the j-th measurement.

[0099] By calculating calibration coefficients based on measurements from a standard flow meter and an ultrasonic water meter under different flow rates, temperatures, and pressures, the influence of various practical environmental factors on the measurement can be comprehensively considered. Different flow rates, temperatures, and pressures will cause variations in the measurement error of the ultrasonic water meter. Calculating calibration coefficients from multiple sets of data can integrate these factors, more accurately correcting the measurement results of the ultrasonic water meter, making the calibrated measurement results closer to the true value, and improving the accuracy of the measurement. This is achieved through the formula... By employing a weighted average method to statistically analyze multiple sets of calibration coefficient values, and assigning weights based on the importance or frequency of different experimental conditions, the final calibration coefficients can better reflect actual usage scenarios. For example, in certain usage environments, medium-to-high flow rates occur frequently, so calibration coefficients within this flow rate range can be assigned higher weights. This results in better performance of the final calibration coefficients under these commonly used conditions, enhancing their applicability in different usage scenarios and avoiding the limitations that may exist in calibration coefficients obtained under a single experimental condition.

[0100] The working process of the fault detection and alarm module is as follows:

[0101] The calculated calibration coefficients and water meter status information are processed to obtain the comprehensive water meter status index. ;

[0102] The comprehensive state index of the water meter was calculated. The process is as follows:

[0103] Retrieve the current operating time of the water meter from the water meter status information. Current battery level of the water meter Current signal strength of the water meter sensor and the current temperature of the water meter ;

[0104] Through the formula: ;

[0105] ;

[0106] ;

[0107] The comprehensive state index of the water meter was calculated. ;

[0108] The rapid growth characteristic amplifies the impact of temperature deviation on fault assessment, reflecting that even a brief deviation from the normal temperature range can have a significant impact on the performance of the water meter, potentially leading to a significant increase in the risk of failure.

[0109] in, For the design life of the water meter, The water meter battery is fully charged. This represents the maximum signal strength of the water meter sensor. For the first Water meter temperature deviation coefficient for each testing period This refers to the operating temperature range of the water meter. , , , These are the weighting coefficients. The total number of detection time periods. For the first Each testing period This is the influence coefficient;

[0110] Then calculate the comprehensive state index of the water meter. Compared with the preset first-level fault warning range Level 2 fault warning range Compare;

[0111] like If so, the fault warning will not be triggered;

[0112] like If so, a low-level fault warning will be triggered, and a routine check will be performed;

[0113] like If so, a mid-level fault warning will be triggered, and a maintenance plan will be arranged;

[0114] like If this occurs, a serious fault warning will be triggered, and the machine will be immediately stopped for inspection.

[0115] In this embodiment, multiple water meter status information and working time are combined. Battery power Sensor signal strength and temperature Data can assess the status of water meters from multiple dimensions. Compared to relying solely on calibration coefficients, this comprehensive assessment considers factors that may affect water meter performance and malfunctions more comprehensively, avoiding the limitations of single-factor assessments and providing a more complete perspective for fault diagnosis. For example, it considers not only the calibration coefficient for water meter measurement accuracy but also hardware status, such as battery level, sensor signal strength, and environmental factors like temperature, thus reflecting the actual operating status of the water meter more comprehensively. Furthermore, by setting different fault levels and warning levels, based on the water meter's comprehensive status index... The scope of warnings allows for more precise fault classification; different levels of warnings help differentiate the severity of faults, enabling maintenance personnel to adopt different maintenance strategies based on the warning level, avoiding a "one-size-fits-all" approach. For example, when a severe fault warning is triggered, emergency measures such as immediate shutdown and inspection can be taken to prevent the fault from escalating further; for intermediate fault warnings, a reasonable maintenance plan can be arranged, and targeted maintenance can be carried out without affecting normal use; for low-level fault warnings, routine inspections can be used to prevent the fault from developing further, achieving rational allocation and efficient utilization of resources.

[0116] Fault classification based on comprehensive fault assessment indicators can detect potential faults in advance, improving the timeliness and targeting of maintenance. Compared with repairing water meters only after serious faults occur, this early warning and classified handling can eliminate faults in their infancy or deal with them in their early stages, reducing water outage time and potential economic losses caused by water meter failures, and improving the reliability and stability of the entire water supply system.

[0117] The influence coefficient The calculation formula is:

[0118] ;

[0119] in, Calibration coefficient Within the time range The average value within, Calibration coefficient Within the time range The curve of change within, For the first The battery level of the water meter at the time of the second sampling. In the time range Number of samplings within.

[0120] In this embodiment, the standard deviation formula is used. Measurable The degree of dispersion, a high degree of dispersion may indicate unstable battery power, suggesting a potential fault; while This indicates the fluctuation of the calibration coefficient over a period of time. The greater the fluctuation, the larger this value, which may mean a higher risk of failure.

[0121] A method for calibrating ultrasonic water meters based on the Internet of Things (IoT) is disclosed, which is implemented based on the aforementioned IoT-based remote ultrasonic water meter calibration system.

[0122] It should be noted that the calculation formulas and all parameters involved in the calculations in this invention have been dimensionless beforehand. The process of dimensionless processing is well known in the industry and will not be described here.

[0123] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A remote ultrasonic water meter calibration system based on the Internet of Things, characterized in that, include: The data acquisition module collects flow data, temperature data, pressure data, and water meter status information in real time from a remote ultrasonic water meter via the Internet of Things. The data preprocessing module is used to clean, filter, and format the collected data to ensure its accuracy and consistency. The calibration parameter setting module is used to set calibration parameters according to the technical specifications and calibration standards of the ultrasonic water meter, including flow calibration point, temperature compensation coefficient, pressure compensation coefficient, and calibration coefficient. The calibration calculation module uses the set calibration parameters to perform calibration calculations on the preprocessed data to obtain the calibrated flow data. The calibration result verification module is used to compare the calibrated flow data with the standard flow data to verify whether the calibration result is qualified. The result storage and transmission module is used to store calibration results in the database of the remote management center and transmit the calibration results to relevant management personnel or systems via the Internet of Things; The fault detection and alarm module monitors the status information of the ultrasonic water meter in real time during data acquisition and calibration calculation. When an abnormality is detected, the alarm mechanism is triggered to notify relevant personnel for handling. The working process of the fault detection and alarm module is as follows: The calculated calibration coefficients and water meter status information are processed to obtain the comprehensive water meter status index. ; Then calculate the comprehensive state index of the water meter. The warning is compared with the preset first-level and second-level fault warning ranges to provide graded warnings; The comprehensive state index of the water meter was calculated. The process is as follows: Retrieve the current operating time of the water meter from the water meter status information. Current battery level of the water meter Current signal strength of the water meter sensor and the current temperature of the water meter ; Through the formula: ； ； ； The comprehensive state index of the water meter was calculated. ; in, For the design life of the water meter, The water meter battery is fully charged. This represents the maximum signal strength of the water meter sensor. For the first Water meter temperature deviation coefficient for each testing period This refers to the operating temperature range of the water meter. , , , These are the weighting coefficients. The total number of detection time periods. For the first Each testing period This is the influence coefficient; The influence coefficient The calculation formula is: ； in, Calibration coefficient Within the time range The average value within, Calibration coefficient Within the time range The curve of change within, For the first The battery level of the water meter at the time of the second sampling. In the time range Number of samplings within.

2. The IoT-based remote ultrasonic water meter calibration system according to claim 1, characterized in that, The flow calibration point It is set indivual, ; The temperature compensation coefficient The calculation formula is: ； in, When the temperature is The speed at which ultrasound travels through water. Reference temperature The speed at which ultrasound travels through water. For temperature coefficient, Real-time temperature; The pressure compensation coefficient The calculation formula is: ； in, The pressure coefficient, For real-time pressure, For reference pressure.

3. The IoT-based remote ultrasonic water meter calibration system according to claim 2, characterized in that, Obtain the calibrated flow data The method is as follows: Traffic data Temperature data Pressure data and calibration coefficients Substitute into the following formula: ； The calibrated flow data was calculated. ; in, The cross-sectional area of ​​the pipe. This represents the propagation time of the ultrasound wave.

4. The IoT-based remote ultrasonic water meter calibration system according to claim 3, characterized in that, The working process of the calibration result verification module is as follows: Through the formula: ； Calculate the flow deviation rate ; Flow deviation rate Deviation threshold from preset flow rate Compare; like If so, the calibration result is deemed unqualified; like If the calibration result is satisfactory, then the calibration result is considered acceptable.

5. The IoT-based remote ultrasonic water meter calibration system according to claim 4, characterized in that, Obtain the calibration coefficient The process is as follows: After connecting a standard flow meter in series with an ultrasonic water meter, the flow rate value of the standard flow meter is recorded continuously m times. and the flow rate of the ultrasonic water meter ; Through the formula: ； The calibration coefficients were calculated. ; in, Let be the weighting coefficient for the j-th measurement.

6. A method for calibrating remote ultrasonic water meters based on the Internet of Things, characterized in that, This method is implemented based on the IoT-based remote ultrasonic water meter calibration system described in any one of claims 1-5.

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