Metering method of intelligent water meter

Abstract

The invention discloses a metering method of an intelligent water meter, and relates to the technical field of water meter metering. Comprising the steps that at least three water flow monitoring units are arranged in a target intelligent water meter through a combination method, a monitoring unit set is obtained, and the monitoring unit set is used for independent metering and combined metering; through a first acquisition method, water consumption segmented data of a target user is acquired, segmented data items are obtained, and the segmented data items are used for performing segmented division on the water consumption data of the target user. At least three water flow monitoring units are arranged in a target intelligent water meter, water consumption segmented data of a target user are obtained through a first obtaining method, then temperature data and humidity data of a monitoring unit set are obtained through a second obtaining method, and the monitoring unit set is matched through a matching method; therefore, the intelligent metering effect of automatically selecting the adaptive water flow monitoring unit for metering according to different environments is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of water meter measurement, and in particular to a measurement method for an intelligent water meter. Background Art

[0002] A water meter is a device used to measure water used in homes or industries. It is usually installed in a water pipe system and can accurately record the amount of water used, usually in cubic meters or gallons. The main functions of a water meter include accurately recording water consumption, which is very important for calculating users' water bills. By monitoring water usage, it helps users detect potential leaks. In public water supply systems, water meters help manage water resources and ensure their proper allocation and use. There are different types of water meters, including mechanical and electronic. Different types of water meters have different measurement methods. For example, a centrifugal water meter uses the power of the water flow to turn the internal turbine to measure the water volume.

[0003] Patent publication number CN11030788A provides a more accurate method for measuring flow rate of smart water meters. The method takes multiple instantaneous flow points between the minimum instantaneous flow rate Q1 and the overload instantaneous flow rate Q4 and measures the corresponding impeller speed to make an equivalent data table. When measuring the flow rate, the instantaneous flow rate is found or calculated based on the equivalent data table. The change between two adjacent points is regarded as linear. The instantaneous flow rate multiplied by the time is the cumulative flow rate. Not only is the measurement accurate, but it can also measure smaller flow rates to make water meters with high R values. The R value of the smart horizontal propeller water meter can be greater than 400, and the R value of the smart vertical propeller water meter can be greater than 600. The accuracy level is 1, which is much greater than the existing water meters.

[0004] During the operation of the water meter, the above-mentioned and similar technical solutions are full of uncertainty in the working environment. For example, users use different amounts of water in different time periods, and the humidity and temperature are different at different times. Different types of water meters will be affected to varying degrees when facing such problems during use. For example, when a mechanical water meter is in use, when the water flow rate is too low, a "dead zone" may occur, while a high flow rate may cause turbulence, resulting in errors in the measurement of the flow rate. When an ultrasonic water meter is in use, temperature changes will affect the speed of sound, causing the propagation speed of ultrasonic waves in water to change with temperature. Therefore, in the actual use process, inaccurate measurement may occur due to the influence of various external factors. Summary of the invention

[0005] The purpose of the present invention is to provide a metering method for an intelligent water meter to solve the problems raised in the above background technology.

[0006] To achieve the above object, the present invention provides the following technical solution: a measurement method of a smart water meter, comprising: By combining the method, at least three water flow monitoring units are arranged in the target smart water meter to obtain a monitoring unit set, and the monitoring unit set is used for individual metering and combined metering; By means of a first acquisition method, segmented water consumption data of a target user is acquired to obtain segmented data items, which are used to segment the water consumption data of the target user, and the segmented data items are used to express the first working matching degree of the water flow monitoring unit; by means of a second acquisition method, temperature and humidity data of a monitoring unit set are acquired to obtain temperature information items and humidity information items, which are used to express the second working matching degrees of different water flow monitoring units respectively; Based on the segmented data items, temperature information items and humidity information items, the monitoring unit set is matched through a matching method to obtain the target water flow monitoring unit, and the metering work is performed based on the target water flow monitoring unit, realizing the intelligent metering effect of automatically selecting the adapted water flow monitoring unit for automatic metering according to different environments; The matching method comprises: Step 1: attribute analysis, based on the monitoring unit set, obtain the attribute information of the water flow monitoring unit respectively, and obtain at least three unit attribute items; Step 2: Demand setting: based on the unit attribute items, the unit demand information is set respectively, and the unit demand information corresponds to the segment data item, the temperature information item and the humidity information item respectively; Step 3: Information acquisition, obtaining the real-time temperature and real-time humidity data of the monitoring unit set, obtaining the real-time temperature item and the real-time humidity item, and obtaining the real-time water consumption data of the target user at the same time, obtaining the matching segment item; Step 4: Information matching: Based on the matching results of the real-time temperature item, the real-time humidity item and the matching segment item with the temperature information item, the humidity information item and the segmented data item, the water flow monitoring unit with the highest working matching degree is selected as the target water flow monitoring unit.

[0007] Furthermore, the water flow monitoring unit includes a mechanical unit, an ultrasonic unit and an electronic unit, and the attribute analysis method includes: S1: Attribute acquisition, respectively acquiring attribute information of the mechanical unit, the ultrasonic unit and the electronic unit, the attribute information including influencing factor information, and obtaining influencing factor items; S2: influence ranking, obtain the influence ratio of the influencing factor items, sort the influencing factor items based on the ratio results, and obtain the influence ranking items; S3: Attribute screening, based on the impact ranking items, the target impact factors are screened out as matching factors. The matching factors correspond to the mechanical unit, ultrasonic unit and electronic unit respectively.

[0008] Furthermore, the information acquisition method includes: based on the matching factors corresponding to the mechanical unit, the ultrasonic unit and the electronic unit, respectively obtaining the corresponding targets of the segmented data items, temperature information items and humidity information items corresponding to the matching factors, that is, the segmented data items, temperature information items and humidity information items have the highest impact on the mechanical unit, the ultrasonic unit and the electronic unit respectively, and obtaining matching corresponding items, setting a first division item, a second division item and a third division item, and dividing the segmented data items, the temperature information items and the humidity information items respectively, and obtaining the required segmentation item, the divided segmentation item, the required temperature item, the divided temperature item, the required humidity item and the divided humidity item respectively, and the required segmentation item, the required temperature item and the required humidity item are matched with the water flow monitoring unit respectively.

[0009] Furthermore, the information matching method includes: judging whether the real-time temperature, real-time humidity data and matching segmentation items are in the demand segmentation item, the demand temperature item and the demand humidity item; when the real-time temperature item is in the demand temperature item, the matching water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matching water flow monitoring unit is not used as the target water flow monitoring unit; when the real-time humidity item is in the demand humidity item, the matching water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matching water flow monitoring unit is not used as the target water flow monitoring unit; when the matching segmentation item is in the demand segmentation item, the matching water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matching water flow monitoring unit is not used as the target water flow monitoring unit.

[0010] Furthermore, the first acquisition method includes: A first acquisition time is set to obtain a first acquisition time item, and based on the first acquisition time item, the monitoring unit set continuously obtains water consumption data of the target user to obtain a consumption data item; Setting a division interval, dividing the first acquisition time item based on the division interval to obtain a plurality of division interval items, and obtaining water consumption data of the division interval items based on the consumption data items to obtain interval data items; Based on the interval data item, the water consumption peak and water consumption trough of the target user are obtained to obtain the peak item and the trough item, and the allocation interval is set. Based on the combination result of the allocation interval, the peak item and the trough item, the segmented data item is obtained.

[0011] Furthermore, the second acquisition method includes: setting a second acquisition time, obtaining a second acquisition time item, setting a first target acquisition device, and based on the second acquisition time item, respectively acquiring the temperature and humidity data of the monitoring unit set, obtaining the highest temperature item, the lowest temperature item, the highest humidity item, and the lowest humidity item, and based on the difference between the highest temperature item and the lowest temperature item and the difference between the highest humidity item and the lowest humidity item, respectively obtaining the temperature information item and the humidity information item.

[0012] Furthermore, the second acquisition method also includes: setting a floating item, the floating item is a fixed time value, judging whether the maximum temperature item, the minimum temperature item, the maximum humidity item and the minimum humidity item reach the floating item, and when the maximum temperature item, the minimum temperature item, the maximum humidity item and the minimum humidity item do not reach the floating item, setting the target maximum temperature item, the minimum temperature item, the maximum humidity item and the minimum humidity item as exclusion items, and reacquiring the temperature and humidity data corresponding to the exclusion items.

[0013] Furthermore, the combination method includes: obtaining fixed information of the water flow monitoring unit, the fixed information including name information, setting combination restrictions, obtaining required water flow monitoring unit information based on the combination restrictions and the fixed information, and then selecting the water flow monitoring unit.

[0014] Furthermore, the combination method also includes: setting an influence interval, obtaining a plurality of arrangement feature points based on the influence interval, and arranging the water flow monitoring units respectively based on the arrangement feature points.

[0015] Compared with the prior art, the present invention has the following beneficial effects: The metering method of the smart water meter arranges at least three water flow monitoring units in a target smart water meter, and obtains the segmented data of the water consumption of the target user through a first acquisition method to obtain the segmented data items, and then obtains the temperature data and humidity data of the monitoring unit set through a second acquisition method to obtain the real-time temperature items and real-time humidity items. Based on the segmented data items, the real-time temperature items and the real-time humidity items, the monitoring unit set is matched through a matching method to obtain the target water flow monitoring unit, thereby realizing the smart metering effect of automatically selecting an adaptive water flow monitoring unit for metering according to different environments.

[0016] At the same time, since the water flow monitoring unit is composed of a mechanical unit, an ultrasonic unit and an electronic unit, and corresponds to mechanical water meters, ultrasonic water meters and electromagnetic water meters respectively, by analyzing the proportion of influencing factors on mechanical water meters, ultrasonic water meters and electromagnetic water meters, and then combining the acquired real-time data for analysis, different water flow monitoring units are selected with the support of different data, making the selection of water flow monitoring units more targeted. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the overall process of the present invention; Figure 2 It is a schematic diagram of the peak item and the trough item of the present invention; Figure 3 It is a schematic diagram of the positions of three parts of the water use data item of the present invention; Figure 4 It is a schematic diagram of the three-part distribution of the water use data item of the present invention; Figure 5It is a schematic diagram of the temperature information item and the temperature difference splitting item of the present invention; Figure 6 It is a schematic diagram of the humidity information item and the humidity difference splitting item of the present invention. DETAILED DESCRIPTION

[0018] 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.

[0019] Since the working environment of the water meter is full of uncertainties, such as the difference in water consumption of users in different time periods, which leads to changes in water flow rate, usually, the design of the water meter is based on a certain flow rate range, but in actual use, the water flow rate may be lower or higher than this range. Under low flow conditions, the water flow is not enough to drive the water meter to rotate, resulting in metering stagnation, and a "dead zone" phenomenon may occur in mechanical water meters; under high flow conditions, the generation of turbulence may lead to inaccurate measurements, resulting in metering errors. On the contrary, when the water flow rate is too high, turbulence may occur, which will cause unstable flow measurement and further affect the accuracy of measurement. In addition, changes in temperature and humidity are also important factors affecting water meter measurement. The working principle of ultrasonic water meters is more dependent on the stability of sound velocity. The sound velocity in water will change with changes in temperature, which affects the measurement accuracy of ultrasonic water meters under different temperature conditions. Therefore, changes in environmental factors Fluctuations, especially temperature and flow rate fluctuations, will have a significant impact on the metering results of the water meter. Therefore, in the actual working process of the water meter, due to the complexity and uncertainty of the working environment, the metering accuracy of the water meter is often affected by multiple factors, which may cause errors in the metering of the water meter. The technical solution provided by the present application first arranges at least three water flow monitoring units in the target smart water meter through a combination method to obtain a monitoring unit set, obtains the target user's water consumption segmented data through a first acquisition method, obtains the segmented data items, obtains the temperature data and humidity data of the monitoring unit set through a second acquisition method, obtains the real-time temperature items and real-time humidity items, and matches the monitoring unit set based on the segmented data items, real-time temperature items and real-time humidity items through a matching method to obtain the target water flow monitoring unit, thereby achieving the intelligent metering effect of automatically selecting an adapted water flow monitoring unit for metering according to different environments. Specifically, in the present application, Figure 1 As shown, steps S100-S400 are included.

[0020] Step S100: at least three water flow monitoring units are arranged in the target smart water meter by a combination method.

[0021] It should be noted that the number of arrangements is three, and the water flow monitoring units are installed in the smart water meters respectively for measuring the water volume. At this time, the combination method includes: obtaining fixed information of the water flow monitoring unit, the fixed information includes name information, the name information of the water flow monitoring unit includes mechanical water meter, ultrasonic water meter, electromagnetic water meter, ultrasonic and mechanical composite water meter, etc., setting combination restrictions, the combination restrictions are non-repeatable restrictions, that is, the name information of the water flow monitoring unit cannot be repeated. Since the number of arrangements is three and the combination restrictions are non-repeatable restrictions, the water flow monitoring units arranged at this time are mechanical water meters, ultrasonic water meters and electromagnetic water meters. Based on the combination restrictions and fixed information, the required water flow monitoring unit information is obtained, and then the water flow monitoring unit is selected, that is, a combination of mechanical water meters, ultrasonic water meters and electromagnetic water meters.

[0022] It should be noted that the combination method also includes: setting an influence interval, obtaining multiple layout feature points based on the influence interval, and arranging water flow monitoring units based on the layout feature points. The set influence interval is 20 cm, and based on the influence interval, three layout feature points are obtained, and water flow monitoring units are arranged respectively.

[0023] Step S200: Acquire the target user's water consumption segmented data to obtain segmented data items, where the segmented data items are used to segment the target user's water consumption data.

[0024] It should be noted that the segmented data item is used to express the first working matching degree of the water flow monitoring unit. The first acquisition method includes: setting a first acquisition time to obtain a first acquisition time item, the first acquisition time is 24 hours, based on the first acquisition time item, the monitoring unit set continuously obtains the water use data of the target user to obtain the consumption data item; setting a division interval, dividing the first acquisition time item based on the division interval to obtain multiple division interval items, the set division interval is 1 hour, based on the consumption data item, obtaining the water use data of the division interval item to obtain the interval data item; based on the interval data item, obtaining the water use peak and water use trough of the target user to obtain the peak item and the trough item, setting the allocation interval, based on the combination result of the allocation interval and the peak item and the trough item, obtaining the segmented data item, the set allocation interval is 24 hours as a cycle, obtaining the water use data of the target user in the allocation interval, and dividing the water use data into three parts, according to the difference percentage data of the peak item and the trough item, setting the first part to 0-25%, the second part to 25%-75%, and the third part to 75%-100%.

[0025] like Figure 2-Figure 4As shown, specifically, in the water consumption data of a certain user in a cycle, the peak item is 50L and the trough item is 0L. At this time, according to the setting results of setting the first part to 0-25%, the second part to 25%-75%, and the third part to 75%-100%, the first part is set to 0-12.5L, the second part to 12.5L-37.5L, and the third part to 37.5L-50L, that is, in 24 hours, when the water consumption is in the time period of 0-12.5L, it belongs to the first part, when the water consumption is in the time period of 12.5L-37.5L, it belongs to the second part, and when the water consumption is in the time period of 37.5L-50L, it belongs to the third part.

[0026] Step S300: Acquire the temperature and humidity data of the monitoring unit set through the second acquisition method to obtain the temperature information item and the humidity information item.

[0027] like Figure 5-Figure 6 As shown, it should be noted that the second acquisition method includes: setting a second acquisition time to obtain a second acquisition time item, the second acquisition time item is 24h, setting a first target acquisition device, based on the second acquisition time item, respectively obtaining the temperature and humidity data of the monitoring unit set, and obtaining the highest temperature item, the lowest temperature item, the highest humidity item and the lowest humidity item, the first target device is a temperature sensor and a humidity sensor, based on the difference between the highest temperature item and the lowest temperature item and the difference between the highest humidity item and the lowest humidity item, respectively obtaining the temperature information item and the humidity information item, setting the difference splitting item, and the difference splitting item is 50%.

[0028] It should be noted that the second acquisition method also includes: setting a floating item, the floating item is a fixed time value, the set floating item is 5 minutes, and judging whether the highest temperature item, the lowest temperature item, the highest humidity item and the lowest humidity item reach the floating item. When the highest temperature item, the lowest temperature item, the highest humidity item and the lowest humidity item do not reach the floating item, the target highest temperature item, the lowest temperature item, the highest humidity item and the lowest humidity item are set as exclusion items, and the temperature and humidity data corresponding to the exclusion items are re-acquired.

[0029] Specifically, the highest temperature obtained by the temperature sensor is 37° C., but it lasts for only 3 minutes. At this time, the highest temperature item is taken as an exclusion item, and the highest temperature data is obtained again.

[0030] Step S400: Based on the segmented data items, the temperature information items and the humidity information items, the monitoring unit set is matched by a matching method to obtain a target water flow monitoring unit.

[0031] Specifically, the matching method includes steps S4001-S4004.

[0032] Step S4001: attribute analysis, based on the monitoring unit set, respectively obtain the attribute information of the water flow monitoring unit to obtain at least three unit attribute items. Since the water flow monitoring unit includes a mechanical unit, an ultrasonic unit and an electronic unit, the attribute analysis method at this time includes: attribute acquisition, respectively obtain the attribute information of the mechanical unit, the ultrasonic unit and the electronic unit, the attribute information includes influencing factor information, and obtain influencing factor items. The influencing factor information includes water flow information, temperature information and humidity information; influence sorting, obtain the influence ratio of the influencing factor items, sort the influencing factor items based on the ratio results, and obtain the influence sorting items. For the mechanical unit, the factor with the largest ratio is water. Flow information: When the water velocity is too low, a "dead zone" may occur, while a high velocity may cause turbulence, resulting in errors in the flow measurement. For ultrasonic units, the largest influencing factor is temperature information. The speed of sound in water changes with temperature, which affects the measurement accuracy of ultrasonic water meters under different temperature conditions. For electronic units, the largest influencing factor is humidity information. When the humidity is too high, the electronic unit will be affected by the humid environment, thereby affecting the measurement accuracy. Attribute screening: Based on the impact ranking items, the target influencing factors are screened out as matching factors. The matching factors correspond to mechanical units, ultrasonic units, and electronic units respectively. Step S4002: Demand setting, based on the unit attribute items, the unit demand information is set respectively, and the unit demand information corresponds to the segment data item, the temperature information item and the humidity information item respectively; It should be noted that in the unit demand information, since the mechanical unit, ultrasonic unit and electronic unit correspond to the segmented data items, temperature information items and humidity information items respectively, according to the water usage data division results, according to the difference percentage data of the peak item and the trough item, the first part is set to 0-25%, the second part is 25%-75%, and the third part is 75%-100%. At this time, the second part corresponds to the mechanical unit. In the temperature data and humidity data, since the difference split item is 50%, when the temperature split value is less than 50%, it corresponds to the ultrasonic unit, and when the humidity split value is less than 50%, it corresponds to the electronic unit.

[0033] During the specific implementation process, the highest temperature obtained is 30°C and the lowest temperature is 15°C. At this time, the temperature difference is 15°C and the temperature split value is 22.5°C. When the temperature is 22°C, the temperature split value is less than 50%, that is, the work measurement is performed by the ultrasonic unit. When the temperature is 25°C, the temperature split value is greater than 50%, that is, the ultrasonic unit does not work.

[0034] Step S4003: information acquisition, acquiring the real-time temperature and real-time humidity data of the monitoring unit set, obtaining the real-time temperature item and the real-time humidity item, and simultaneously acquiring the real-time water consumption data of the target user, and obtaining the matching segmentation item; the information acquisition method comprises: based on the matching factors corresponding to the mechanical unit, the ultrasonic unit and the electronic unit, respectively acquiring the corresponding targets of the segmentation data items, the temperature information items and the humidity information items with the matching factors, that is, the segmentation data items, the temperature information items and the humidity information items have the highest impact on the mechanical unit, the ultrasonic unit and the electronic unit respectively, and obtaining the matching corresponding items, setting the first division item, the second division item and the third division item, respectively dividing the segmentation data items, the temperature information items and the humidity information items, and respectively obtaining the demand segmentation item, the division segmentation item, the demand temperature item, the division temperature item, the demand humidity item and the division humidity item, and the demand segmentation item, the demand temperature item and the demand humidity item are respectively matched with the water flow monitoring unit.

[0035] It should be noted that the first division item is a partial division, and the second and third division items are difference split divisions. Since the first part is set to 0-25%, the second part is set to 25%-75%, and the third part is set to 75%-100% according to the difference percentage data of the peak item and the trough item, the second part is now the demand segmentation item, and the first and third parts are the division segmentation items, corresponding to the mechanical unit. In the temperature data and humidity data, since the difference split item is 50%, when the temperature split value is less than 50%, it is the demand temperature item, and when the temperature split value is greater than 50%, it is the division temperature item, corresponding to the ultrasonic unit, when the humidity split value is less than 50%, it is the demand humidity item, and when the humidity split value is greater than 50%, it is the division humidity item, corresponding to the electronic unit.

[0036] Step S4004: information matching, based on the matching results of the real-time temperature item, the real-time humidity item and the matching segmentation item with the temperature information item, the humidity information item and the segmentation data item, select the water flow monitoring unit with the highest working matching degree as the target water flow monitoring unit; the information matching method includes: judging whether the real-time temperature, the real-time humidity data and the matching segmentation item are in the required segmentation item, the required temperature item and the required humidity item, when the real-time temperature item is in the required temperature item, the matched water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matched water flow monitoring unit is not used as the target water flow monitoring unit, when the real-time humidity item is in the required humidity item, the matched water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matched water flow monitoring unit is not used as the target water flow monitoring unit, when the matching segmentation item is in the required segmentation item, the matched water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matched water flow monitoring unit is not used as the target water flow monitoring unit.

[0037] Specifically, the highest temperature is 30°C and the lowest temperature is 15°C. At this time, the temperature difference is 15°C and the temperature split value is 22.5°C. The highest humidity is 80% and the lowest humidity is 20%. At this time, the humidity split value is 50%. The water consumption data of a certain user in a cycle is obtained, the peak item is 50L and the trough item is 0L. At this time, according to the setting results of setting the first part to 0-25%, the second part to 25%-75%, and the third part to 75%-100%, the first part is set to 0-12.5L, the second part to 12.5L-37.5L, and the third part to 37.5L-50L. That is, in 24 hours, when the water consumption is in the time period of 0-12.5L, it belongs to the first part, and the water consumption is in the time period of 12.5L-37.5L. When the water consumption is in the time period of 37.5L-50L, it belongs to the third part. The time corresponding to the first part is 24:00-7:00, the time corresponding to the second part is 7:00-18:00, and the time corresponding to the third part is 18:00-24:00. When the temperature is 22℃ and the humidity is 60%, the temperature split value is less than 50%, but the humidity split value is greater than 50%, that is, the temperature and humidity are the required temperature item and the divided humidity item respectively, that is, the ultrasonic unit is used for work measurement, but the electronic unit does not work. When the temperature is 25℃ and the humidity data is 45%, the temperature split value is greater than 50%, and the humidity split value is less than 50%, that is, the temperature and humidity are the divided temperature item and the required humidity item respectively, that is, the ultrasonic unit does not work, and the electronic unit works.

Claims

1. A measurement method for a smart water meter, characterized in that: include: By combining the method, at least three water flow monitoring units are arranged in the target smart water meter to obtain a monitoring unit set, and the monitoring unit set is used for individual metering and combined metering; Acquire the target user's water consumption segmentation data through a first acquisition method to obtain segmentation data items, where the segmentation data items are used to segment the target user's water consumption data, and the segmentation data items are used to express a first working matching degree of the water flow monitoring unit; Acquire the temperature and humidity data of the monitoring unit set through the second acquisition method to obtain the temperature information item and the humidity information item, wherein the temperature information item and the humidity information item are respectively used to express the second working matching degree of different water flow monitoring units; Based on the segmented data items, temperature information items and humidity information items, the monitoring unit set is matched through a matching method to obtain the target water flow monitoring unit, and the metering work is performed based on the target water flow monitoring unit, realizing the intelligent metering effect of automatically selecting the adapted water flow monitoring unit for automatic metering according to different environments; The matching method comprises: Step 1: attribute analysis, based on the monitoring unit set, obtain the attribute information of the water flow monitoring unit respectively, and obtain at least three unit attribute items; Step 2: Demand setting: based on the unit attribute items, the unit demand information is set respectively, and the unit demand information corresponds to the segment data item, the temperature information item and the humidity information item respectively; Step 3: Information acquisition, obtaining the real-time temperature and real-time humidity data of the monitoring unit set, obtaining the real-time temperature item and the real-time humidity item, and obtaining the real-time water consumption data of the target user at the same time, obtaining the matching segment item; Step 4: Information matching: Based on the matching results of the real-time temperature item, the real-time humidity item and the matching segment item with the temperature information item, the humidity information item and the segmented data item, the water flow monitoring unit with the highest working matching degree is selected as the target water flow monitoring unit.

2. The measurement method of a smart water meter according to claim 1, characterized in that: The water flow monitoring unit includes a mechanical unit, an ultrasonic unit and an electronic unit, and the attribute analysis method includes: S1: Attribute acquisition, respectively acquiring attribute information of the mechanical unit, the ultrasonic unit and the electronic unit, the attribute information including influencing factor information, and obtaining influencing factor items; S2: influence ranking, obtain the influence ratio of the influencing factor items, sort the influencing factor items based on the ratio results, and obtain the influence ranking items; S3: Attribute screening, based on the impact ranking items, the target impact factors are screened out as matching factors. The matching factors correspond to the mechanical unit, ultrasonic unit and electronic unit respectively.

3. The measurement method of a smart water meter according to claim 2, characterized in that: The information acquisition method includes: based on the matching factors corresponding to the mechanical unit, the ultrasonic unit and the electronic unit, respectively obtaining the corresponding targets of the segmented data items, temperature information items and humidity information items corresponding to the matching factors, that is, the segmented data items, temperature information items and humidity information items have the highest impact on the mechanical unit, the ultrasonic unit and the electronic unit respectively, obtaining the matching corresponding items, setting the first division item, the second division item and the third division item, respectively dividing the segmented data items, the temperature information items and the humidity information items, and respectively obtaining the required segmentation items, the divided segmentation items, the required temperature items, the divided temperature items, the required humidity items and the divided humidity items, and the required segmentation items, the required temperature items and the required humidity items are respectively matched with the water flow monitoring unit.

4. The measurement method of a smart water meter according to claim 3, characterized in that: The information matching method includes: judging whether the real-time temperature, real-time humidity data and matching segmentation items are in the demand segmentation item, the demand temperature item and the demand humidity item; when the real-time temperature item is in the demand temperature item, the matched water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matched water flow monitoring unit is not used as the target water flow monitoring unit; when the real-time humidity item is in the demand humidity item, the matched water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matched water flow monitoring unit is not used as the target water flow monitoring unit; when the matching segmentation item is in the demand segmentation item, the matched water flow monitoring unit is used as the target water flow monitoring unit, otherwise the matched water flow monitoring unit is not used as the target water flow monitoring unit.

5. The measurement method of a smart water meter according to claim 1, characterized in that: The first acquisition method includes: A first acquisition time is set to obtain a first acquisition time item, and based on the first acquisition time item, the monitoring unit set continuously obtains water consumption data of the target user to obtain a consumption data item; Setting a division interval, dividing the first acquisition time item based on the division interval to obtain a plurality of division interval items, and obtaining water consumption data of the division interval items based on the consumption data items to obtain interval data items; Based on the interval data item, the water consumption peak and water consumption trough of the target user are obtained to obtain the peak item and the trough item, and the allocation interval is set. Based on the combination result of the allocation interval, the peak item and the trough item, the segmented data item is obtained.

6. The measurement method of a smart water meter according to claim 1, characterized in that: The second acquisition method includes: setting a second acquisition time, obtaining a second acquisition time item, setting a first target acquisition device, and based on the second acquisition time item, respectively obtaining the temperature and humidity data of the monitoring unit set, obtaining the highest temperature item, the lowest temperature item, the highest humidity item, and the lowest humidity item, and based on the difference between the highest temperature item and the lowest temperature item and the difference between the highest humidity item and the lowest humidity item, respectively obtaining the temperature information item and the humidity information item.

7. A measurement method for a smart water meter according to claim 6, characterized in that: The second acquisition method also includes: setting a floating item, the floating item is a fixed time value, judging whether the maximum temperature item, the minimum temperature item, the maximum humidity item and the minimum humidity item reach the floating item, and when the maximum temperature item, the minimum temperature item, the maximum humidity item and the minimum humidity item do not reach the floating item, setting the target maximum temperature item, the minimum temperature item, the maximum humidity item and the minimum humidity item as exclusion items, and reacquiring the temperature and humidity data corresponding to the exclusion items.

8. The measurement method of a smart water meter according to claim 1, characterized in that: The combination method includes: obtaining fixed information of the water flow monitoring unit, the fixed information including name information, setting combination restrictions, obtaining required water flow monitoring unit information based on the combination restrictions and the fixed information, and then selecting the water flow monitoring unit.

9. The measurement method of a smart water meter according to claim 1, characterized in that: The combination method further includes: setting an influence interval, obtaining a plurality of arrangement feature points based on the influence interval, and arranging the water flow monitoring units respectively based on the arrangement feature points.

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