阅读说明：本技术 一种基于物联网服务的智能水表运行误差校准方法、装置及存储介质 (Intelligent water meter operation error calibration method and device based on Internet of things service and storage medium ) 是由 张瑞 于 2020-12-03 设计创作，主要内容包括：本发明涉及水表检测技术领域,具体地说,涉及一种基于物联网服务的智能水表运行误差校准方法、装置及存储介质。包括安装标准表、进行运行误差测试、对误差值进行计算以及将计算结果添加到智能水表的数据计算模块上等步骤,直至实现水表运行误差的校准。本发明设计采用两组外夹式便携超声波对水表运行误差进行测试,不仅安装方便、节省时间,而且不会影响水表及管路的正常使用,避免增加水表后期的维管成本,同时可以提高误差测量的准确度,另外将测试结果直接更新到智能水表中使其自动进行误差校准,可以提高智能水表的计量准确度,避免用户利益受损。(The invention relates to the technical field of water meter detection, in particular to an intelligent water meter operation error calibration method and device based on Internet of things service and a storage medium. The method comprises the steps of installing a standard meter, testing running errors, calculating error values, adding calculation results to a data calculation module of the intelligent water meter and the like until the running errors of the water meter are calibrated. The invention adopts two sets of external clamping type portable ultrasonic waves to test the running error of the water meter, thereby not only being convenient to install and saving time, but also not influencing the normal use of the water meter and a pipeline, avoiding increasing the maintenance cost of the water meter in the later period, simultaneously improving the accuracy of error measurement, and in addition, directly updating the test result into the intelligent water meter to automatically carry out error calibration, improving the metering accuracy of the intelligent water meter and avoiding the damage of the benefit of a user.)

1. An intelligent water meter operation error calibration method based on Internet of things service is characterized by comprising the following steps: the method comprises the following steps:

s1, installing a standard table;

s2, carrying out operation error test;

s3, calculating an error value;

and S4, adding the calculation result to a data calculation module of the intelligent water meter to realize the calibration of the running error of the water meter.

2. The intelligent water meter operation error calibration method based on the service of the internet of things according to claim 1, characterized in that: in S1, the method for installing the standard table includes the following steps:

s1.1, checking an intelligent water meter and a control valve of a water supply system, and checking whether water supply pressure is normal or not;

s1.2, closing a valve at the upstream of the intelligent water meter, emptying tap water in a pipe from the tail end of the pipe network, and simultaneously emptying air in the water meter to be measured and a water pipeline through a rotameter;

s1.3, taking the two external-clamping type portable ultrasonic flowmeters as a standard meter, and checking and calibrating whether the standard meter is normal or not;

s1.4, a first externally-clamped portable ultrasonic flowmeter is arranged between the intelligent water meter and the upstream valve, and a second externally-clamped portable ultrasonic flowmeter is arranged between the intelligent water meter and the downstream valve.

3. The intelligent water meter operation error calibration method based on the service of the internet of things according to claim 1, characterized in that: in S2, the method for performing the operation error test includes the following steps:

s2.1, reading and recording the reading of the accumulated water consumption on the intelligent water meter at the moment, and then opening one or more water taps at the tail end of the pipeline;

s2.2, opening an upstream valve of the intelligent water meter, performing water discharging operation for 10-20 min, and collecting tap water discharged from the tail end of the pipe network by using a container in the process;

s2.3, closing an upstream valve of the intelligent water meter again until tap water in the pipeline is completely drained;

s2.4, reading the tap water flow values of the first external clamp type ultrasonic flowmeter and the second external clamp type ultrasonic flowmeter, and calculating the average S of the two flow values_m；

S2.5, reading the accumulated water consumption of the intelligent water meter again, calculating the difference between the two water consumption to obtain the flow value S of the intelligent water meter_p；

S2.6, respectively carrying out the operation flows under the states of nominal, boundary and minimum flow, and respectively reading and recording corresponding flow values;

and S2.7, after the test is finished, sequentially detaching the first outer-clamping type portable ultrasonic flowmeter and the second outer-clamping type portable ultrasonic flowmeter.

4. The intelligent water meter operation error calibration method based on the service of the internet of things according to claim 1, characterized in that: in S3, the method for calculating the error value includes the following steps:

s3.1, recording the obtained numerical values into a computer, and automatically and respectively calculating the running errors in each state by a computer program according to a set algorithm to obtain a plurality of error values;

and S3.2, averaging the error values to obtain a final error value.

5. The intelligent water meter operation error calibration method based on the service of the internet of things according to claim 4, characterized in that: in S3.1, the calculation formula of the running error is:

where δ is the error value, S_mIs the mean flow value, S, of two standard tables_pAnd displaying the flow value for the intelligent water meter.

6. The intelligent water meter operation error calibration method based on the service of the internet of things according to claim 1, characterized in that: in S4, the method for calibrating the flow value error includes the following steps:

s4.1, updating the final error value into a data calculation module of the intelligent water meter;

s4.2, re-opening an upstream valve of the intelligent water meter, and normally using the intelligent water meter;

and S4.3, when the tap water flows through the intelligent water meter again, the intelligent water meter reads the flow value measured by the water meter, automatically calculates the calibration flow value according to the final error value, displays the calibration flow value through the electronic display screen, and uploads the calibration flow value to the database for water charge calculation.

7. The intelligent water meter operation error calibration method based on the service of the internet of things according to claim 6, characterized in that: in S4.3, the calculation formula of the calibration flow value is as follows:

wherein S is_nFor calibrated flow rate values，S_pFor the flow value, delta, measured by the intelligent water meter_mIs the final error value after the average value is taken.

8. The utility model provides an intelligence water gauge running error calibrating device based on thing networking service which characterized in that: the intelligent water meter operation error calibration method based on the service of the internet of things comprises a processor, a memory and a computer program stored in the memory and running on the processor, wherein the processor is used for realizing the steps of the intelligent water meter operation error calibration method based on the service of the internet of things according to any one of claims 1 to 7 when executing the computer program.

9. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor implements the steps of the method for calibrating the running error of the intelligent water meter based on the service of the internet of things as claimed in any one of claims 1 to 7.

Technical Field

The invention relates to the technical field of water meter detection, in particular to an intelligent water meter operation error calibration method and device based on Internet of things service and a storage medium.

Background

The water meter is a most common flow meter closely related to the life of people, and whether the water meter is accurately measured directly relates to the personal interests of users and the statistical clearing work of water supply enterprises on the water supply amount. The water meter is influenced by various factors in the metering process, and the metering is inaccurate, so that the water meter needs to be tested and calibrated for running errors after being installed and used for a long time. The water meter of the internet of things is a novel intelligent water meter and has the advantages of strong real-time performance, simplicity and easiness in installation, easiness in data acquisition and analysis and the like. However, the traditional water meter running error testing method is not only troublesome in operation and low in accuracy, but also is not suitable for intelligent water meters, and the later maintenance cost of the water meters is easily increased in the operation process.

Disclosure of Invention

The invention aims to provide an intelligent water meter operation error calibration method, an intelligent water meter operation error calibration device and an intelligent water meter operation error calibration storage medium based on Internet of things service, and aims to solve the problems in the background technology.

In order to solve the technical problems, one of the objectives of the present invention is to provide an intelligent water meter operation error calibration method based on internet of things service, which includes the following steps:

s1, installing a standard table;

s2, carrying out operation error test;

s3, calculating an error value;

and S4, adding the calculation result to a data calculation module of the intelligent water meter to realize the calibration of the running error of the water meter.

As a further improvement of the present technical solution, in S1, the method for installing the standard table includes the following steps:

s1.1, checking an intelligent water meter and a control valve of a water supply system, and checking whether water supply pressure is normal or not;

s1.2, closing a valve at the upstream of the intelligent water meter, emptying tap water in a pipe from the tail end of the pipe network, and simultaneously emptying air in the water meter to be measured and a water pipeline through a rotameter;

s1.3, taking the two external-clamping type portable ultrasonic flowmeters as a standard meter, and checking and calibrating whether the standard meter is normal or not;

s1.4, a first externally-clamped portable ultrasonic flowmeter is arranged between the intelligent water meter and the upstream valve, and a second externally-clamped portable ultrasonic flowmeter is arranged between the intelligent water meter and the downstream valve.

As a further improvement of the present technical solution, in S2, the method for performing the operation error test includes the following steps:

s2.1, reading and recording the reading of the accumulated water consumption on the intelligent water meter at the moment, and then opening one or more water taps at the tail end of the pipeline;

s2.2, opening an upstream valve of the intelligent water meter, performing water discharging operation for 10-20 min, and collecting tap water discharged from the tail end of the pipe network by using a container in the process;

s2.3, closing an upstream valve of the intelligent water meter again until tap water in the pipeline is completely drained;

s2.4, reading the tap water flow values of the first external clamp type ultrasonic flowmeter and the second external clamp type ultrasonic flowmeter, and calculating the average S of the two flow values_m；

S2.5, reading the accumulated water consumption of the intelligent water meter again, calculating the difference between the two water consumption to obtain the flow value S of the intelligent water meter_p；

S2.6, respectively carrying out the operation flows under the states of nominal, boundary and minimum flow, and respectively reading and recording corresponding flow values;

and S2.7, after the test is finished, sequentially detaching the first outer-clamping type portable ultrasonic flowmeter and the second outer-clamping type portable ultrasonic flowmeter.

As a further improvement of the present technical solution, in S3, the method for calculating the error value includes the following steps:

s3.1, recording the obtained numerical values into a computer, and automatically and respectively calculating the running errors in each state by a computer program according to a set algorithm to obtain a plurality of error values;

and S3.2, averaging the error values to obtain a final error value.

As a further improvement of the technical solution, in S3.1, a calculation formula of the running error is as follows:

where δ is the error value, S_mIs the mean flow value, S, of two standard tables_pAnd displaying the flow value for the intelligent water meter.

As a further improvement of the present technical solution, in S4, the method for calibrating the error of the flow value includes the following steps:

s4.1, updating the final error value into a data calculation module of the intelligent water meter;

s4.2, re-opening an upstream valve of the intelligent water meter, and normally using the intelligent water meter;

and S4.3, when the tap water flows through the intelligent water meter again, the intelligent water meter reads the flow value measured by the water meter, automatically calculates the calibration flow value according to the final error value, displays the calibration flow value through the electronic display screen, and uploads the calibration flow value to the database for water charge calculation.

As a further improvement of the technical solution, in S4.3, a calculation formula of the calibration flow value is as follows:

wherein S is_nFor the calibrated flow value, S_pFor the flow value, delta, measured by the intelligent water meter_mIs the final error value after the average value is taken.

The invention also provides an intelligent water meter operation error calibration device based on the service of the internet of things, which comprises a processor, a memory and a computer program stored in the memory and operated on the processor, wherein the processor is used for realizing any step of the intelligent water meter operation error calibration method based on the service of the internet of things when executing the computer program.

The invention also provides a computer-readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the steps of any one of the above-mentioned methods for calibrating the operation error of the intelligent water meter based on the service of the internet of things.

Compared with the prior art, the invention has the beneficial effects that: in the intelligent water meter running error calibration method, the intelligent water meter running error calibration device and the storage medium based on the Internet of things service, the running error of the water meter is tested by adopting two sets of externally-clamped portable ultrasonic waves as a standard meter, the intelligent water meter running error calibration device is convenient to install and time-saving, the normal use of the water meter and a pipeline cannot be influenced, the increase of the maintenance cost in the later stage of the water meter is avoided, meanwhile, the accuracy of error measurement can be improved by carrying out comparison analysis on multiple sets of measurement results, in addition, the test results are directly updated into the intelligent water meter, the running error calibration can be automatically carried out according to the error values, the metering accuracy of the intelligent water meter can be.

Drawings

FIG. 1 is an overall process flow diagram of the present invention;

FIG. 2 is a flow chart of a method of installing a criteria table in accordance with the present invention;

FIG. 3 is a flow chart of a method of performing an error test in accordance with the present invention;

FIG. 4 is a flow chart of a method of calculating an error value according to the present invention;

FIG. 5 is a flow chart of a method of error calibration according to the present invention;

FIG. 6 is a schematic structural diagram of the apparatus of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Method embodiment

As shown in fig. 1 to 6, an object of this embodiment is to provide an intelligent water meter operation error calibration method based on internet of things service, including the following steps:

s1, installing a standard table;

s2, carrying out operation error test;

s3, calculating an error value;

and S4, adding the calculation result to a data calculation module of the intelligent water meter to realize the calibration of the running error of the water meter.

In this embodiment, in S1, the method for installing the standard table includes the following steps:

s1.1, checking an intelligent water meter and a control valve of a water supply system, and checking whether water supply pressure is normal or not;

s1.2, closing a valve at the upstream of the intelligent water meter, emptying tap water in a pipe from the tail end of the pipe network, and simultaneously emptying air in the water meter to be measured and a water pipeline through a rotameter;

s1.3, taking the two external-clamping type portable ultrasonic flowmeters as a standard meter, and checking and calibrating whether the standard meter is normal or not;

s1.4, a first externally-clamped portable ultrasonic flowmeter is arranged between the intelligent water meter and the upstream valve, and a second externally-clamped portable ultrasonic flowmeter is arranged between the intelligent water meter and the downstream valve.

In this embodiment, in S2, the method for performing the operation error test includes the following steps:

s2.1, reading and recording the reading of the accumulated water consumption on the intelligent water meter at the moment, and then opening one or more water taps at the tail end of the pipeline;

s2.2, opening an upstream valve of the intelligent water meter, performing water discharging operation for 10-20 min, and collecting tap water discharged from the tail end of the pipe network by using a container in the process;

s2.3, closing an upstream valve of the intelligent water meter again until tap water in the pipeline is completely drained;

s2.4, reading the tap water flow values of the first external clamp type ultrasonic flowmeter and the second external clamp type ultrasonic flowmeter, and calculating the average S of the two flow values_m；

S2.5, reading the accumulated water consumption of the intelligent water meter again, calculating the difference between the two water consumption to obtain the flow value S of the intelligent water meter_p；

S2.6, respectively carrying out the operation flows under the states of nominal, boundary and minimum flow, and respectively reading and recording corresponding flow values;

and S2.7, after the test is finished, sequentially detaching the first outer-clamping type portable ultrasonic flowmeter and the second outer-clamping type portable ultrasonic flowmeter.

In this embodiment, in S3, the method for calculating the error value includes the following steps:

s3.1, recording the obtained numerical values into a computer, and automatically and respectively calculating the running errors in each state by a computer program according to a set algorithm to obtain a plurality of error values;

and S3.2, averaging the error values to obtain a final error value.

Specifically, in S3.1, the calculation formula of the running error is:

where δ is the error value, S_mIs the mean flow value, S, of two standard tables_pAnd displaying the flow value for the intelligent water meter.

In this embodiment, in S4, the method for calibrating the flow value error includes the following steps:

s4.1, updating the final error value into a data calculation module of the intelligent water meter;

s4.2, re-opening an upstream valve of the intelligent water meter, and normally using the intelligent water meter;

and S4.3, when the tap water flows through the intelligent water meter again, the intelligent water meter reads the flow value measured by the water meter, automatically calculates the calibration flow value according to the final error value, displays the calibration flow value through the electronic display screen, and uploads the calibration flow value to the database for water charge calculation.

Specifically, in S4.3, the calculation formula of the calibration flow rate value is:

wherein S is_nFor the calibrated flow value, S_pFor the flow value, delta, measured by the intelligent water meter_mIs the final error value after the average value is taken.

Device embodiment

Referring to fig. 6, a schematic structural diagram of the device for calibrating the operation error of an intelligent water meter based on the service of the internet of things according to the present embodiment is shown, and the device includes a processor, a memory, and a computer program stored in the memory and running on the processor.

The processor comprises one or more than one processing core, the processor is connected with the processor through a bus, the memory is used for storing program instructions, and the intelligent water meter operation error calibration method based on the service of the Internet of things is realized when the processor executes the program instructions in the memory.

Alternatively, the memory may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

In addition, the invention also provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and when the computer program is executed by a processor, the steps of the method for calibrating the running error of the intelligent water meter based on the service of the internet of things are realized.

Optionally, the present invention further provides a computer program product containing instructions, which when run on a computer, causes the computer to execute the steps of the method for calibrating the operation error of the intelligent water meter based on the service of the internet of things in the above aspects.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by hardware related to instructions of a program, which may be stored in a computer-readable storage medium, such as a read-only memory, a magnetic or optical disk, and the like.

In addition, the invention also provides a plurality of intelligent readers, the intelligent readers are arranged on the intelligent water meter and the standard meter, meanwhile, the intelligent readers are connected with the processor of the calibration device through wireless communication, the data calculation module of the intelligent water meter is connected with the processor of the calibration device through wireless communication, the intelligent readers are used for automatically reading data on each meter and automatically transmitting the data to the processor for calculation, and the calculation result is fed back to the intelligent water meter in time, so that the intelligent water meter can automatically finish the error calibration process.

The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.