Metering calibration method and system for remote transmission ultrasonic water meter based on Internet of Things

Abstract

The invention relates to the field of metering calibration, and discloses a remote ultrasonic water meter metering calibration method and system based on the Internet of Things. The system comprises a plurality of modules, wherein a data acquisition module acquires flow, temperature, pressure and state information of the ultrasonic water meter in real time through the Internet of Things; the data preprocessing module cleans, screens and formats the acquired data to ensure the accuracy and consistency of the acquired data; the calibration parameter setting module sets calibration parameters such as a flow calibration point and a temperature compensation coefficient according to the technical specification and the calibration standard of the water meter; the calibration calculation module utilizes the parameters to calibrate data; the calibration result verification module compares the calibrated flow data with standard data and verifies whether the flow data are qualified or not; the result storage and transmission module stores the calibration result into a remote database and transmits the calibration result to related personnel or systems; the fault detection and alarm module monitors the state of the water meter in real time, and alarms are triggered once abnormity is found to inform personnel to deal with the abnormity.

Description

Technical Field

[0001] The present invention relates to the field of measurement and calibration, and in particular to a measurement and calibration method and system for a remote ultrasonic water meter based on the Internet of Things. Background Art

[0002] Ultrasonic water meter is an instrument that uses ultrasonic technology to measure water flow. It has the characteristics of high measurement accuracy, low pressure loss, and low starting flow. It uses ultrasonic transducers to propagate ultrasonic waves in the fluid and calculates the flow of the fluid by measuring the propagation time of ultrasonic waves. Since ultrasonic water meters have the advantage of non-contact measurement, they can avoid the problem of reduced accuracy caused by long-term wear of traditional mechanical water meters.

[0003] With the continuous development of Internet of Things technology, ultrasonic water meters have gradually been combined with Internet of Things technology to form ultrasonic water meters based on Internet of Things. This kind of water meter not only has all the advantages of ultrasonic water meters, but also can realize functions such as remote monitoring, data transmission and intelligent management. Through Internet of Things technology, the measurement data of ultrasonic water meters can be transmitted to the remote management center in real time, which is convenient for managers to conduct real-time monitoring and data analysis.

[0004] Although ultrasonic water meters have the advantage of high measurement accuracy, their measurement accuracy may change during long-term use due to the influence of various factors (such as fluid temperature, pressure, flow rate, etc.). Therefore, ultrasonic water meters need to be calibrated regularly to ensure the accuracy of their measurement data; at the same time, with the widespread application of ultrasonic water meters in water supply systems, the number of water meters continues to increase, and the traditional manual calibration method can no longer meet the needs of efficient management; therefore, a method that can automatically, quickly and accurately calibrate ultrasonic water meters is needed;

[0005] In addition, the measurement and calibration of ultrasonic water meters involves multiple technical links, such as data collection, data analysis, fault detection, etc. How to efficiently process these data and accurately judge the operating status of the water meter is a key technical challenge in achieving automated calibration. Summary of the invention

[0006] The purpose of the present invention is to provide a method and system for measuring and calibrating an ultrasonic water meter based on the Internet of Things to solve the above technical problems.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] A measurement and calibration system for ultrasonic water meters based on the Internet of Things, comprising:

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

[0010] Data preprocessing module, used to clean, filter and format the collected data to ensure the accuracy and consistency of the data;

[0011] A 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 points, temperature compensation coefficients, pressure compensation coefficients and calibration coefficients;

[0012] The calibration calculation module uses the set calibration parameters to perform calibration calculation on the pre-processed data to obtain 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] A result storage and transmission module is used to store the calibration results in the database of the remote management center and transmit the calibration results to relevant managers or systems through the Internet of Things;

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

[0016] As a further technical solution, the flow calibration point Set up indivual, ;

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

[0018] in, When the temperature is The transmission speed of ultrasound in water is is the reference temperature The transmission speed of ultrasound in water is is the temperature coefficient, is the real-time temperature;

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

[0020] in, is the pressure coefficient, is the real-time pressure, is the reference pressure.

[0021] As a further technical solution, obtain the calibrated flow data The method is:

[0022] The flow data , Temperature data , Pressure data And the calibration factor Substitute the following formula: ;

[0023] Calculate the calibrated flow data ;

[0024] in, is the cross-sectional area of ​​the pipe, is the propagation time of ultrasound.

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

[0026] By formula:

[0027] ;

[0028] Calculate the flow deviation rate ;

[0029] The flow deviation rate The flow rate deviation threshold is set to Compare;

[0030] like , the calibration result is judged to be unqualified;

[0031] like , the calibration result is judged to be qualified.

[0032] As a further technical solution, obtain the calibration coefficient The process is:

[0033] After connecting the standard flow meter and the ultrasonic water meter in series, continuously record the flow value of the standard flow meter m times And the flow value of ultrasonic water meter ;

[0034] By formula: ;

[0035] Calculate the calibration factor ;

[0036] in, is the weight coefficient of the jth measurement.

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

[0038] The water meter comprehensive status index is calculated by processing the calculated calibration coefficient and water meter status information. ;

[0039] Then the calculated water meter comprehensive status index The preset first-level fault warning interval , Second level fault warning interval Make comparisons;

[0040] like , then no fault warning is triggered;

[0041] like , then a low-level fault warning is triggered and routine inspection is performed;

[0042] like , then an intermediate fault warning is triggered and a maintenance plan is arranged;

[0043] like , a serious fault warning is triggered and the machine is immediately shut down for inspection.

[0044] As a further technical solution, the water meter comprehensive status index is calculated The process is:

[0045] Get the current working time of the water meter in the water meter status information , the current charge of the water meter battery , the current signal strength of the water meter sensor and the current temperature of the water meter ;

[0046] By formula: ;

[0047] ;

[0048] ;

[0049] Calculate the comprehensive status index of the water meter ;

[0050] in, is the design life of the water meter, is the full charge of the water meter battery, is the maximum signal strength of the water meter sensor, For the The water meter temperature deviation coefficient for each detection period is: is the operating temperature range of the water meter, , , , is the weight coefficient, is the total number of detection periods, For the Testing period, is the influence coefficient.

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

[0052] ;

[0053] in, is the calibration factor In time range The average value within is the calibration factor In time range The change curve inside For the The battery capacity of the water meter at the time of sampling. For the time range The number of samples within .

[0054] A method for measuring and calibrating a water meter based on a remote transmission ultrasonic wave in the Internet of Things. The method is implemented based on the system for measuring and calibrating a water meter based on a remote transmission ultrasonic wave in the Internet of Things.

[0055] Beneficial effects of the present invention:

[0056] (1) The data acquisition module obtains flow, temperature, pressure and water meter status information in real time to provide 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 multiple factors, it ensures that the calibration calculation module can accurately correct the measurement errors caused by temperature and pressure changes and the water meter's own characteristics, so that the calibrated flow data is highly close to the true value, meeting the needs of high-precision measurement and effectively avoiding trade disputes and resource waste caused by inaccurate measurement. The system can adjust the calibration parameters in real time according to environmental factors such as temperature and pressure. For example, in different seasons or areas with large temperature differences between day and night, the temperature compensation coefficient changes in real time to ensure that the water meter always maintains accurate measurement in complex environments, adapt to a variety of application scenarios, and improve the applicability and reliability of the system.

[0057] (2) The entire process from data collection, preprocessing, calibration calculation to result verification is automated. Compared with traditional manual calibration, it greatly reduces manual intervention and improves calibration efficiency. It is especially suitable for calibration of large-scale water meter networks, saving manpower, time and economic costs. At the same time, it reduces errors 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 the data collection and calibration calculation process. Once an abnormality is detected, such as sensor failure, low battery power, abnormal flow fluctuation, etc., the alarm mechanism is immediately triggered, which can detect the problem at the embryonic stage of the fault and prevent the fault from expanding and causing serious impact on metering accuracy and system operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The present invention will be further described below in conjunction with the accompanying drawings.

[0061] Figure 1 It is a system structure block diagram of the present invention. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] See also Figure 1 As shown, the present invention is a measurement and calibration system for ultrasonic water meters based on the Internet of Things, comprising:

[0065] The data acquisition module collects flow data, temperature data, pressure data and water meter status information from the remote ultrasonic water meter in real time through the Internet of Things;

[0066] Data preprocessing module, used to clean, filter and format the collected data to ensure the accuracy and consistency of the data;

[0067] A 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 points, temperature compensation coefficients, pressure compensation coefficients and calibration coefficients;

[0068] The calibration calculation module uses the set calibration parameters to perform calibration calculation on the pre-processed data to obtain calibrated flow data;

[0069] 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;

[0070] A result storage and transmission module is used to store the calibration results in the database of the remote management center and transmit the calibration results to relevant managers or systems through the Internet of Things;

[0071] The fault detection and alarm module monitors the status information of the ultrasonic water meter in real time during the data collection and calibration calculation process. When an abnormality is detected, the alarm mechanism is triggered to notify relevant personnel for processing.

[0072] In this embodiment, flow data, temperature data, pressure data and water meter status information are collected in real time from a remote ultrasonic water meter through the Internet of Things, thereby achieving the acquisition of key data that affects the measurement accuracy of the ultrasonic water meter and providing a data basis for subsequent calibration.

[0073] The real-time data collected can reflect the various working conditions of the water meter during its actual operation, including factors that may affect the measurement accuracy, such as fluid temperature, pressure, and the water meter's own status; the collected data is preprocessed by cleaning, screening, and formatting to ensure data accuracy and consistency; since the actual collected data may have noise, outliers, or inconsistent formats, these interference factors can be removed through preprocessing, making the data used for calibration reliable and accurate, laying the foundation for subsequent accurate calibration. For example, when cleaning data, data that is obviously deviated from the normal range due to sensor failure and other reasons can be removed; data can be screened to select valid data based on a reasonable threshold range; formatting can unify the data format for subsequent processing; data preprocessing uses methods in the prior art, which can be directly obtained by technicians in this field, so it will not be elaborated on;

[0074] According to the technical specifications and calibration standards of the ultrasonic water meter, set the calibration parameters, including flow calibration point, temperature compensation coefficient, pressure compensation coefficient and calibration coefficient; determine the key parameters required for calibration according to the water meter's own characteristics and industry calibration standards. Different types of ultrasonic water meters have different technical specifications and corresponding calibration parameters. By setting these parameters reasonably, the water meter can be calibrated in a targeted manner.

[0075] Then, the pre-processed data is calibrated and calculated using the set calibration parameters to obtain calibrated flow data; based on the accurate data obtained previously and the set calibration parameters, the flow data is calibrated through a specific calibration calculation method to correct the measurement deviation caused by various factors and ensure the accuracy of the measurement data; for example, the flow data is corrected by combining the temperature compensation coefficient and the pressure compensation coefficient, considering the influence of temperature and pressure on ultrasonic propagation;

[0076] 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 means that the calibration result is reliable. If the deviation is too large, it may be necessary to recheck the calibration parameters or whether there are problems with the data acquisition process.

[0077] The flow calibration point Set up indivual, ;

[0078] The temperature compensation coefficient The calculation formula is: ;

[0079] in, When the temperature is The transmission speed of ultrasound in water is is the reference temperature The transmission speed of ultrasound in water is The temperature coefficient is formulated based on historical data and empirical data. is the real-time temperature;

[0080] The pressure compensation coefficient The calculation formula is:

[0081] ;

[0082] in, is the pressure coefficient, which is formulated based on historical data and empirical data. is the real-time pressure, is the reference pressure.

[0083] Obtain the calibrated flow data The method is:

[0084] The flow data , Temperature data , Pressure data And the calibration factor Substitute the following formula:

[0085] ;

[0086] Calculate the calibrated flow data ;

[0087] in, is the cross-sectional area of ​​the pipe, is the propagation time of ultrasound.

[0088] In this embodiment, by introducing calibration parameters and considering the influence of temperature and pressure on ultrasonic propagation speed and fluid state, the pre-processed data can be accurately calibrated and calculated 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, in different seasons or under different water supply pressures, the measurement error can be minimized to meet the requirements of high-precision measurement; at the same time, the area parameters related to the water meter structure and fluid properties, as well as the propagation time of the ultrasonic wave, are included, and a variety of key factors affecting flow measurement are comprehensively considered. Such comprehensive considerations make the calibration calculation more scientific and reasonable, ensure that the calibrated flow data can more accurately reflect the actual flow, avoid measurement deviations caused by inadequate consideration of a single factor, and improve the technical performance of the entire measurement and calibration system.

[0089] The working process of the calibration result verification module is as follows:

[0090] By formula: ;

[0091] Calculate the flow deviation rate ;

[0092] The flow deviation rate The flow rate deviation threshold is set to Compare;

[0093] like , the calibration result is judged to be unqualified;

[0094] like , the calibration result is judged to be qualified.

[0095] Through the calculation of the above formula, the qualification or failure of the calibration result can be accurately judged. If qualified, it means that 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; at the same time, based on the qualified data of 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 the calibration coefficient of multiple calibrations, it is possible to evaluate whether the performance of the water meter is gradually declining or stable. If unqualified, it means that the ultrasonic water meter is in a calibration failure state, triggering an early warning or automatic recalibration.

[0096] Get the calibration coefficients The process is:

[0097] After connecting the standard flow meter and the ultrasonic water meter in series, continuously record the flow value of the standard flow meter m times And the flow value of ultrasonic water meter ;

[0098] By formula: ;

[0099] Calculate the calibration factor ;

[0100] in, is the weight coefficient of the jth measurement.

[0101] By calculating the calibration coefficient based on the measured values ​​of the standard flow meter and the ultrasonic water meter under different flow rates, temperatures and pressures, the influence of various actual use environment factors on the measurement can be fully considered. Different flow rates, temperatures and pressures will cause changes in the measurement error of the ultrasonic water meter. Calculating the calibration coefficient with multiple sets of data can integrate these situations and more accurately correct the measurement results of the ultrasonic water meter, so that the calibrated measurement results are closer to the true value and the measurement accuracy is improved. Through the formula The weighted average method is used to perform statistical analysis on multiple sets of calibration coefficient values. Weights are assigned according to the importance or frequency of occurrence of different experimental conditions, so that the final calibration coefficient can better reflect the actual usage scenario. For example, in some usage environments, medium and high flow rates occur frequently, and the calibration coefficient under this flow rate range can be given a higher weight, so that the final calibration coefficient has better performance under these common conditions, enhancing the applicability of the calibration coefficient in different usage scenarios and avoiding the limitations of the calibration coefficient obtained under a single experimental condition.

[0102] The working process of the fault detection and alarm module is:

[0103] The water meter comprehensive status index is calculated by processing the calculated calibration coefficient and water meter status information. ;

[0104] Calculate the comprehensive status index of the water meter The process is:

[0105] Get the current working time of the water meter in the water meter status information , the current charge of the water meter battery , the current signal strength of the water meter sensor and the current temperature of the water meter ;

[0106] By formula: ;

[0107] ;

[0108] ;

[0109] Calculate the comprehensive status index of the water meter ;

[0110] The rapid growth characteristics amplify the impact of temperature deviation on fault assessment, reflecting that even a short-term temperature deviation outside the normal range may have a significant impact on the performance of the water meter, which may lead to a significant increase in the risk of faults.

[0111] in, is the design life of the water meter, is the full charge of the water meter battery, is the maximum signal strength of the water meter sensor, For the The water meter temperature deviation coefficient for each detection period is: is the operating temperature range of the water meter, , , , is the weight coefficient, is the total number of detection periods, For the Testing period, is the influence coefficient;

[0112] Then the calculated water meter comprehensive status index The preset first-level fault warning interval , Second level fault warning interval Make comparisons;

[0113] like , then no fault warning is triggered;

[0114] like , then a low-level fault warning is triggered and routine inspection is performed;

[0115] like , then an intermediate fault warning is triggered and a maintenance plan is arranged;

[0116] like , a serious fault warning is triggered and the machine is immediately shut down for inspection.

[0117] In this embodiment, the working time is combined with various water meter status information. , Battery level , sensor signal strength and temperature The data can evaluate the status of the water meter from multiple dimensions. Compared with relying solely on the calibration coefficient, this comprehensive evaluation takes into account the factors that may affect the performance and failure of the water meter more comprehensively, avoids the limitations of single factor evaluation, and provides a more complete perspective for fault diagnosis. For example, it not only takes into account the calibration coefficient of the water meter measurement accuracy, but also takes into account the hardware status, such as battery power, sensor signal strength, and environmental factor temperature, which can more comprehensively reflect the actual operating status of the water meter. Then, by setting different fault levels and warning levels, according to the comprehensive status index of the water meter, the water meter can be used to identify the faults and the impact of the water meter on the water meter. The scope of fault classification can be more accurate; different levels of warnings help to distinguish the severity of the fault, so that maintenance personnel can adopt different maintenance strategies according to the warning level, avoiding a "one-size-fits-all" maintenance approach. For example, when a serious fault warning is triggered, emergency measures such as shutdown inspection can be taken immediately to prevent the fault from further expanding; a reasonable maintenance plan can be arranged for intermediate fault warnings, and targeted maintenance can be carried out without affecting normal use; low-level fault warnings can prevent further development of faults through routine inspections, achieving reasonable allocation and efficient use of resources;

[0118] Fault classification based on comprehensive fault assessment indicators can detect potential faults in advance and improve the timeliness and pertinence of maintenance. Compared with repairing the water meter only after a serious fault occurs, this early warning and graded treatment can eliminate the fault in its infancy or handle it at the early stage of the fault, reducing the water outage time and potential economic losses caused by water meter failure, and improving the reliability and stability of the entire water supply system.

[0119] The influence coefficient The calculation formula is:

[0120] ;

[0121] in, is the calibration factor In time range The average value within is the calibration factor In time range The change curve inside For the The battery capacity of the water meter at the time of sampling. For the time range The number of samples within .

[0122] In this embodiment, the standard deviation formula is used Can be measured The degree of dispersion of the battery may indicate unstable battery charge, indicating potential failure; Indicates the fluctuation of the calibration coefficient over a period of time. The greater the fluctuation, the larger the value, which may mean a higher risk of failure.

[0123] A method for measuring and calibrating a water meter based on a remote transmission ultrasonic wave in the Internet of Things. The method is implemented based on the system for measuring and calibrating a water meter based on a remote transmission ultrasonic wave in the Internet of Things.

[0124] It should be noted that the calculation formulas and various parameters involved in the calculation in the present invention have been dimensionally processed in advance, and the process of dimensionless processing is well known in the industry and will not be described here.

[0125] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A measurement and calibration system for ultrasonic water meters 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 from the remote ultrasonic water meter in real time through the Internet of Things; Data preprocessing module, used to clean, filter and format the collected data to ensure the accuracy and consistency of the data; A 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 points, temperature compensation coefficients, pressure compensation coefficients and calibration coefficients; The calibration calculation module uses the set calibration parameters to perform calibration calculation on the pre-processed data to obtain 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; A result storage and transmission module is used to store the calibration results in the database of the remote management center and transmit the calibration results to relevant managers or systems through the Internet of Things; The fault detection and alarm module monitors the status information of the ultrasonic water meter in real time during the data collection and calibration calculation process. When an abnormality is detected, the alarm mechanism is triggered to notify relevant personnel for processing.

2. The measurement and calibration system of ultrasonic water meter based on Internet of Things remote transmission according to claim 1 is characterized in that: The flow calibration point Set up indivual, ; The temperature compensation coefficient The calculation formula is: ； in, When the temperature is The transmission speed of ultrasound in water is is the reference temperature The transmission speed of ultrasound in water is is the temperature coefficient, is the real-time temperature; The pressure compensation coefficient The calculation formula is: ； in, is the pressure coefficient, is the real-time pressure, is the reference pressure.

3. The measurement and calibration system of ultrasonic water meter based on Internet of Things remote transmission according to claim 2 is characterized in that: Obtain the calibrated flow data The method is: The flow data , Temperature data , Pressure data And the calibration factor Substitute the following formula: ； Calculate the calibrated flow data ; in, is the cross-sectional area of ​​the pipe, is the propagation time of ultrasound.

4. The Internet of Things-based remote ultrasonic water meter measurement and calibration system according to claim 3 is characterized in that: The working process of the calibration result verification module is as follows: By formula: ； Calculate the flow deviation rate ; The flow deviation rate The flow rate deviation threshold is set to Compare; like , the calibration result is judged to be unqualified; like , the calibration result is judged to be qualified.

5. The Internet of Things-based remote ultrasonic water meter measurement and calibration system according to claim 4 is characterized in that: Get the calibration coefficients The process is: After connecting the standard flow meter and the ultrasonic water meter in series, continuously record the flow value of the standard flow meter m times And the flow value of ultrasonic water meter ; By formula: ； Calculate the calibration factor ; in, is the weight coefficient of the jth measurement.

6. The Internet of Things-based remote ultrasonic water meter measurement and calibration system according to claim 1 or 5, characterized in that: The working process of the fault detection and alarm module is: The water meter comprehensive status index is calculated by processing the calculated calibration coefficient and water meter status information. ; Then the calculated water meter comprehensive status index The preset first-level fault warning interval , Second level fault warning interval Make comparisons; like , then no fault warning is triggered; like , then a low-level fault warning is triggered and routine inspection is performed; like , then an intermediate fault warning is triggered and a maintenance plan is arranged; like , a serious fault warning is triggered and the machine is immediately shut down for inspection.

7. The Internet of Things-based remote ultrasonic water meter measurement and calibration system according to claim 6 is characterized in that: Calculate the comprehensive status index of the water meter The process is: Get the current working time of the water meter in the water meter status information , the current charge of the water meter battery , the current signal strength of the water meter sensor and the current temperature of the water meter ; By formula: ； ； ； Calculate the comprehensive status index of the water meter ; in, is the design life of the water meter, is the full charge of the water meter battery, is the maximum signal strength of the water meter sensor, For the The water meter temperature deviation coefficient for each detection period is: is the operating temperature range of the water meter, , , , is the weight coefficient, is the total number of detection periods, For the Testing period, is the influence coefficient.

8. The Internet of Things-based remote ultrasonic water meter measurement and calibration system according to claim 7 is characterized in that: The influence coefficient The calculation formula is: ； in, is the calibration factor In time range The average value within is the calibration factor In time range The change curve inside For the The battery capacity of the water meter at the time of sampling. For the time range The number of samples within .

9. A measurement and calibration method of ultrasonic water meter based on Internet of Things, characterized in that: The method is implemented based on the Internet of Things-based remote ultrasonic water meter measurement and calibration system described in any one of claims 1-8.

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