A metering method for an intelligent water meter

Abstract

The present invention discloses a metering method for an intelligent water meter, which relates to the technical field of water meter metering. It includes: arranging at least three water flow monitoring units in a target intelligent water meter through a combination method to obtain a monitoring unit set, and the monitoring unit set is used for individual metering and combined metering; through a first acquisition method, obtaining the water consumption segmented data of a target user to obtain segmented data items, and the segmented data items are used for segmenting the water consumption data of the target user. By arranging at least three water flow monitoring units in the target intelligent water meter in the present invention, and through the first acquisition method, obtaining the water consumption segmented data of the target user, and then through a second acquisition method, obtaining the temperature data and humidity data of the monitoring unit set, and matching the monitoring unit set through a matching method to obtain a target water flow monitoring unit, thus achieving an intelligent metering effect of automatically selecting a suitable water flow monitoring unit for metering according to different environments.

Description

Technical Field

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

[0002] A water meter is a device used to measure household or industrial water consumption. It is usually installed in a water pipe system and can accurately record the amount of water used, usually displayed in cubic meters or gallons. The main functions of a water meter include accurately recording water consumption, which is very important for calculating the water bills of users. By monitoring water usage, it helps users detect potential leakage problems. In a public water supply system, water meters help manage water resources to ensure reasonable distribution and use. There are different types of water meters, including mechanical and electronic types. Different types of water meters have different measurement methods. For example, in a centrifugal water meter, the internal turbine rotates by the power of water flow to measure the amount of water.

[0003] A more accurate measurement method for the flow rate of an intelligent water meter with the patent publication number CN11030788A provides a more accurate measurement method for the flow rate of an intelligent water meter. In this method, multiple instantaneous flow rate points are taken between the minimum instantaneous flow rate Q1 and the overload instantaneous flow rate Q4, and the corresponding impeller rotation speeds are measured to form an equivalent data table. When measuring the flow rate, the instantaneous flow rate is retrieved or calculated according to the equivalent data table. It is considered linearly varying between adjacent two points. The instantaneous flow rate multiplied by time is the cumulative flow rate. It not only has accurate measurement but also can measure smaller flow rates, making water meters with a high R value. Moreover, the R value of an intelligent horizontal helical wing water meter can be made greater than 400, and the R value of an intelligent vertical helical wing water meter can be made greater than 600, with an accuracy class of 1, far greater than existing water meters.

[0004] In the process of the above and similar technical solutions during the operation of the water meter, due to the working environment being full of uncertainties, such as different water consumption amounts of users at different time periods, different humidity and temperature within different times, etc. When different types of water meters are in use and facing such problems, they will all be affected to varying degrees. For example, when a mechanical water meter is in use, when the water flow velocity is too low, a "dead zone" situation may occur, and when the velocity is too high, it may lead to turbulence, resulting in errors in flow rate measurement. While for an ultrasonic water meter in use, temperature changes will affect the speed of sound, causing the propagation speed of ultrasonic waves in water to change with temperature. Therefore, during actual use, inaccurate measurement will occur due to the influence of various external factors. Summary of the Invention

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

[0006] To achieve the above purpose, the present invention provides the following technical solution: A measurement method for an intelligent water meter, including:

[0007] By means of a combination method, at least three water flow monitoring units are arranged in the target intelligent water meter to obtain a monitoring unit set, and the monitoring unit set is used for individual metering and combined metering;

[0008] By means of a first acquisition method, the water consumption segmented data of the target user is acquired to obtain segmented data items, and the segmented data items are used for segmenting the water consumption data of the target user and are used to express the first working matching degree of the water flow monitoring unit; by means of a second acquisition method, the temperature and humidity data of the monitoring unit set are acquired to obtain a temperature information item and a humidity information item, and 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;

[0009] Based on the segmented data items, the temperature information item and the humidity information item, the monitoring unit set is matched by means of a matching method to obtain a target water flow monitoring unit, and metering work is carried out based on the target water flow monitoring unit, achieving an intelligent metering effect of automatically selecting an adapted water flow monitoring unit according to different environments for automatic metering;

[0010] The matching method includes:

[0011] Step 1: Attribute analysis. Based on the monitoring unit set, the attribute information of the water flow monitoring unit is respectively acquired to obtain at least three unit attribute items;

[0012] Step 2: Requirement setting. Based on the unit attribute items, the unit requirement information is respectively set, and the unit requirement information corresponds to the segmented data items, the temperature information item and the humidity information item respectively;

[0013] Step 3: Information acquisition. The real-time temperature and real-time humidity data of the monitoring unit set are acquired to obtain a real-time temperature item and a real-time humidity item, and at the same time, the real-time water consumption data of the target user is acquired to obtain a matching segmented item;

[0014] Step 4: Information matching. Based on the matching results of the real-time temperature item, the real-time humidity item and the matching segmented item with the temperature information item, the humidity information item and the segmented data items, the water flow monitoring unit with the highest working matching degree is selected as the target water flow monitoring unit.

[0015] Furthermore, the water flow monitoring unit includes a mechanical unit, an ultrasonic unit and an electronic unit, and the method for attribute analysis includes:

[0016] S1: Attribute acquisition. The attribute information of the mechanical unit, the ultrasonic unit and the electronic unit is respectively acquired, and the attribute information includes influence factor information, to obtain influence factor items;

[0017] S2: Influence ranking. The influence proportion of the influence factor items is acquired, and the influence factor items are ranked based on the proportion result to obtain influence ranking items;

[0018] S3: Attribute screening. Based on the influencing sorting items, filter out the target influencing factors as matching factors, and the matching factors correspond to the mechanical unit, the ultrasonic unit, and the electronic unit respectively.

[0019] Furthermore, the method for information acquisition includes: Based on the matching factors corresponding to the mechanical unit, the ultrasonic unit, and the electronic unit, respectively obtain the corresponding targets of the segmented data items, the temperature information items, and the humidity information items with respect to the matching factors, that is, the segmented data items, the temperature information items, and the humidity information items have the highest influence degrees on the mechanical unit, the ultrasonic unit, and the electronic unit respectively, to obtain the matching corresponding items, set the first division item, the second division item, and the third division item, and divide the segmented data items, the temperature information items, and the humidity information items respectively to obtain the required segmented items, the divided segmented items, the required temperature items, the divided temperature items, the required humidity items, and the divided humidity items, and the required segmented items, the required temperature items, and the required humidity items are respectively matched with the water flow monitoring unit.

[0020] Furthermore, the method for information matching includes: Determine whether the real-time temperature, the real-time humidity data, and the matching segmented item are within the required segmented item, the required temperature item, and the required humidity item. When the real-time temperature item is within 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 within 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 segmented item is within the required segmented 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.

[0021] Furthermore, the first acquisition method includes:

[0022] Set the first acquisition time to obtain the first acquisition time item. Based on the first acquisition time item, the monitoring unit set continuously acquires the water usage data of the target user to obtain the consumption data item;

[0023] Set the division interval, divide the first acquisition time item based on the division interval to obtain multiple division interval items, and obtain the water usage data of the division interval items based on the consumption data item to obtain the interval data item;

[0024] Based on the interval data item, obtain the water usage peak and the water usage trough of the target user to obtain the peak item and the trough item, set the allocation interval, and based on the combined result of the allocation interval and the peak item and the trough item, obtain the segmented data item.

[0025] Further, the second acquisition method includes: setting a second acquisition time to obtain 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 to obtain 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 a temperature information item and a humidity information item.

[0026] Further, the second acquisition method further includes: setting a floating item, where the floating item is a fixed time value, determining 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 excluded items, and the temperature and humidity data corresponding to the excluded items are acquired again.

[0027] Further, the combination method includes: acquiring the fixed information of the water flow monitoring unit, where the fixed information includes name information, setting a combination limit, and based on the combination limit and the fixed information, acquiring the required water flow monitoring unit information, and then selecting the water flow monitoring unit.

[0028] Further, the combination method further includes: setting an influence interval, obtaining a plurality of layout feature points based on the influence interval, and respectively arranging the water flow monitoring units based on the layout feature points.

[0029] Compared with the prior art, the beneficial effects of the present invention are:

[0030] For the metering method of this intelligent water meter, by arranging at least three water flow monitoring units in the target intelligent water meter, and through the first acquisition method, acquiring the segmented water consumption data of the target user to obtain a segmented data item, and then through the second acquisition method, acquiring the temperature data and humidity data of the monitoring unit set to obtain a real-time temperature item and a real-time humidity item, and based on the segmented data item, the real-time temperature item, and the real-time humidity item, matching the monitoring unit set through a matching method to obtain the target water flow monitoring unit, thereby realizing the intelligent metering effect of automatically selecting a suitable water flow monitoring unit for metering according to different environments.

[0031] At the same time, since the water flow monitoring unit is composed of a mechanical unit, an ultrasonic unit, and an electronic unit, and respectively corresponds to a mechanical water meter, an ultrasonic water meter, and an electromagnetic water meter, by analyzing the proportion of influencing factors received by the mechanical water meter, the ultrasonic water meter, and the electromagnetic water meter, and then combining the acquired real-time data for analysis, different water flow monitoring units are selected under different data supports, making the selection of the water flow monitoring unit more targeted. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Schematic diagram of the overall process of the present invention;

[0033] Figure 2 Schematic diagram of the peak and valley terms of the present invention;

[0034] Figure 3 Schematic diagram of the three - part positions of the water - usage data item of the present invention;

[0035] Figure 4 Schematic diagram of the three - part distribution of the water - usage data item of the present invention;

[0036] Figure 5 Schematic diagram of the split item of the difference between the temperature information item and the temperature of the present invention;

[0037] Figure 6 Schematic diagram of the split item of the difference between the humidity information item and the humidity of the present invention. Detailed implementation manners

[0038] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0039] Due to the uncertainty in the working environment of water meters, such as the difference in water consumption of users at different times, which leads to changes in the water flow rate. Usually, the design of water meters is based on a certain flow rate range. However, in actual use, the water flow rate may be lower or higher than this range. Under low-flow conditions, since the water flow is not sufficient to drive the water meter to rotate, it causes the measurement to stagnate, and the mechanical water meter may exhibit a "dead zone" phenomenon; while under high-flow conditions, the generation of turbulence may lead to inaccurate measurement, resulting in measurement errors. On the contrary, when the water flow rate is too high, a turbulence phenomenon may occur, and turbulence will cause instability in the flow measurement, further affecting 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 depends more on the stability of the sound speed, and the sound speed in water changes with temperature, which affects the measurement accuracy of ultrasonic water meters under different temperature conditions. Therefore, changes in environmental factors, especially fluctuations in temperature and flow rate, will have a significant impact on the measurement results of water meters. Therefore, during the actual operation of water meters, due to the complexity and uncertainty of the working environment, the measurement accuracy of water meters is often affected by various factors, resulting in possible measurement errors in water meters. The technical solution provided in this application first uses a combination method to arrange at least three water flow monitoring units in the target intelligent water meter to obtain a set of monitoring units. Through the first acquisition method, the segmented water consumption data of the target user is obtained to get segmented data items. Through the second acquisition method, the temperature data and humidity data of the set of monitoring units are obtained to get real-time temperature items and real-time humidity items. Based on the segmented data items, real-time temperature items and real-time humidity items, the set of monitoring units is matched through a matching method to obtain the target water flow monitoring unit, thus achieving the intelligent measurement effect of automatically selecting an appropriate water flow monitoring unit for measurement according to different environments. Specifically in this application, as Figure 1 shown, it includes steps S100 - S400.

[0040] Step S100: By using a combination method, arrange at least three water flow monitoring units in the target intelligent water meter.

[0041] It should be noted that the number of arrangements is three, and the water flow monitoring units are respectively installed in the intelligent water meter for water volume measurement. At this time, the combination method includes: obtaining the fixed information of the water flow monitoring unit, and 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. Set the combination limit, and the combination limit is a non-repetition limit, that is, the name information of the water flow monitoring unit cannot be repeated. Since the number of arrangements is three and the combination limit is a non-repetition limit, the arranged water flow monitoring units are mechanical water meter, ultrasonic water meter, and electromagnetic water meter. Based on the combination limit and the fixed information, obtain the required water flow monitoring unit information, and then select the water flow monitoring units, that is, the combination of mechanical water meter, ultrasonic water meter, and electromagnetic water meter.

[0042] It should be noted that the combination method also includes: setting the influence interval, obtaining multiple arrangement feature points based on the influence interval, and arranging the water flow monitoring units respectively based on the arrangement feature points. The set influence interval is 20 cm. Based on the influence interval, three arrangement feature points are obtained, and the water flow monitoring units are arranged respectively.

[0043] Step S200: Obtain the segmented water consumption data of the target user to obtain segmented data items, and the segmented data items are used to segment the water consumption data of the target user.

[0044] 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 the first acquisition time to obtain the first acquisition time item. The first acquisition time is 24 h. Based on the first acquisition time item, continuously obtain the water consumption data of the target user from the monitoring unit set to obtain the consumption data item; set the division interval, divide the first acquisition time item based on the division interval to obtain multiple division interval items. The set division interval is 1 h. Obtain the water consumption data of the division interval item based on the consumption data item to obtain the interval data item; obtain the water consumption peak and trough of the target user based on the interval data item to obtain the peak item and trough item. Set the allocation interval, and based on the combination result of the allocation interval and the peak item and trough item, obtain the segmented data item. The set allocation interval is one cycle of 24 h. Obtain the water consumption data of the target user in the allocation interval and divide the water consumption data into three parts. According to the difference percentage data of the peak item and trough item, set the first part as 0 - 25%, the second part as 25% - 75%, and the third part as 75% - 100%.

[0045] Such as Figures 2 - 4As shown, specifically, among the water usage data of a certain user within one cycle, the peak value is 50L and the trough value is 0L. At this time, according to the setting results where the first part is 0 - 25%, the second part is 25% - 75%, and the third part is 75% - 100%, the first part is set as 0 - 12.5L, the second part is set as 12.5L - 37.5L, and the third part is set as 37.5L - 50L. That is, within 24 hours, when the water usage is in the time period of 0 - 12.5L, it belongs to the first part; when the water usage is in the time period of 12.5L - 37.5L, it belongs to the second part; and when the water usage is in the time period of 37.5L - 50L, it belongs to the third part.

[0046] Step S300: Through the second acquisition method, acquire the temperature and humidity data of the monitoring unit set to obtain the temperature information item and the humidity information item.

[0047] As Figures 5 - 6 shown, it should be noted that the second acquisition method includes: setting the second acquisition time to obtain the second acquisition time item, where the second acquisition time item is 24h, setting the first target acquisition device, and based on the second acquisition time item, respectively acquire the temperature and humidity data of the monitoring unit set to obtain the highest temperature item, the lowest temperature item, as well as the highest humidity item and the lowest humidity item. The first target device is the temperature sensor and the 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 obtain the temperature information item and the humidity information item, and set the difference split item, where the difference split item is 50%.

[0048] It should be noted that the second acquisition method also includes: setting the floating item, where the floating item is a fixed time value, and the set floating item is 5 minutes. Determine whether the highest temperature item, the lowest temperature item, as well as the highest humidity item and the lowest humidity item reach the floating item. When the highest temperature item, the lowest temperature item, as well as the highest humidity item and the lowest humidity item do not reach the floating item, then set the target highest temperature item, the lowest temperature item, as well as the highest humidity item and the lowest humidity item as the excluded items, and re - acquire the temperature and humidity data corresponding to the excluded items.

[0049] Specifically, through the temperature sensor, the highest temperature obtained is 37°C, but the duration is only 3 minutes. At this time, set the highest temperature item as the excluded item and re - acquire the highest temperature data.

[0050] Step S400: Based on the segmented data item, the temperature information item, and the humidity information item, perform matching on the monitoring unit set through the matching method to obtain the target water flow monitoring unit.

[0051] Specifically, the matching method includes steps S4001 - S4004.

[0052] Step S4001: Attribute analysis. Based on the monitoring unit set, obtain the attribute information of the water flow monitoring units respectively to get at least three unit attribute items. Since the water flow monitoring units include mechanical units, ultrasonic units, and electronic units, the methods of attribute analysis at this time include: Attribute acquisition, obtain the attribute information of the mechanical unit, ultrasonic unit, and electronic unit respectively. The attribute information includes impact factor information to obtain impact factor items. The impact factor information includes water flow information, temperature information, and humidity information; Impact ranking, obtain the impact proportion of the impact factor items, and rank the impact factor items based on the proportion result to obtain impact ranking items. For the mechanical unit, the largest proportion of the impact factor is water flow information. When the flow rate of the water is too low, the situation of "dead zone" may occur, and when the flow rate is too high, it may lead to turbulence, resulting in errors in flow measurement. For the ultrasonic unit, the largest proportion of the impact 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 the electronic unit, the largest proportion of the impact factor is humidity information. When the humidity is too high, the electronic unit will be affected by the humid environment, thus affecting the measurement accuracy; Attribute screening, based on the impact ranking items, screen out the target impact factors as matching factors. The matching factors correspond to the mechanical unit, ultrasonic unit, and electronic unit respectively;

[0053] Step S4002: Requirement setting. Based on the unit attribute items, set the unit requirement information respectively. The unit requirement information corresponds to the segmented data item, temperature information item, and humidity information item respectively;

[0054] It should be noted that in the unit requirement information, since the mechanical unit, ultrasonic unit, and electronic unit correspond to the segmented data item, temperature information item, and humidity information item respectively, according to the water usage data division result, according to the difference percentage data of the peak item and the valley item, set the first part as 0 - 25%, the second part as 25% - 75%, and the third part as 75% - 100%. At this time, the second part corresponds to the mechanical unit. Among 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.

[0055] In the specific implementation process, the highest temperature is obtained as 30°C, 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% at this time, that is, the ultrasonic unit is used for work measurement. When the temperature is 25°C, the temperature split value is greater than 50% at this time, that is, the ultrasonic unit does not work.

[0056] Step S4003: Information acquisition. Obtain the real-time temperature and real-time humidity data of the monitoring unit set to get the real-time temperature item and real-time humidity item. At the same time, obtain the real-time water consumption data of the target user to get the matching segmented item. The methods of information acquisition include: based on the matching factors corresponding to the mechanical unit, ultrasonic unit, and electronic unit, respectively obtain the corresponding targets of the segmented data item, temperature information item, and humidity information item with respect to the matching factors, that is, the segmented data item, temperature information item, and humidity information item have the highest impact on the mechanical unit, ultrasonic unit, and electronic unit respectively, to obtain the matching corresponding items. Set the first division item, second division item, and third division item, and divide the segmented data item, temperature information item, and humidity information item respectively to obtain the demand segmented item, divided segmented item, demand temperature item, divided temperature item, demand humidity item, and divided humidity item. The demand segmented item, demand temperature item, and demand humidity item are respectively matched with the water flow monitoring unit.

[0057] 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 difference percentage data of the peak item and valley item are used to set the first part as 0 - 25%, the second part as 25% - 75%, and the third part as 75% - 100%. At this time, the second part is the demand segmented item, and the first and third parts are the divided segmented items, corresponding to the mechanical unit. Among 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 divided 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 divided humidity item, corresponding to the electronic unit.

[0058] Step S4004: Information matching. Based on the matching results of the real-time temperature item, real-time humidity item, and matching segmented item with the temperature information item, humidity information item, and segmented data item, select the water flow monitoring unit with the highest working matching degree as the target water flow monitoring unit. The methods of information matching include: judge whether the real-time temperature, real-time humidity data, and matching segmented item are in the demand segmented item, demand temperature item, and 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 segmented item is in the demand segmented 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.

[0059] Specifically, the highest temperature is obtained as 30°C, the lowest temperature is 15°C, and the temperature difference is 15°C at this time. The temperature split value is 22.5°C. The highest humidity is obtained as 80%, the lowest humidity is 20%, and the humidity split value is 50% at this time. Among the water usage data of a certain user within a cycle, the peak value is 50L and the trough value is 0L. At this time, according to the setting results of the first part being 0 - 25%, the second part being 25% - 75%, and the third part being 75% - 100%, the first part is set to 0 - 12.5L, the second part is set to 12.5L - 37.5L, and the third part is set to 37.5L - 50L. That is, within 24 hours, when the water usage volume is in the time period of 0 - 12.5L, it belongs to the first part; when the water usage volume is in the time period of 12.5L - 37.5L, it belongs to the second part; when the water usage volume is in the time period of 37.5L - 50L, it belongs to the third part. The time corresponding to the first part is from 24:00 to 7:00, the time corresponding to the second part is from 7:00 to 18:00, and the time corresponding to the third part is from 18:00 to 24:00. When the temperature is 22°C and the humidity is 60%, the temperature split value is less than 50% at this time, but the humidity split value is greater than 50%. That is, the temperature and humidity are respectively the required temperature item and the divided humidity item. That is, the ultrasonic unit is used for work measurement, but the electronic unit does not work. When the temperature is 25°C and the humidity data is 45%, the temperature split value is greater than 50% at this time, and the humidity split value is less than 50%. That is, the temperature and humidity are respectively the divided temperature item and the required humidity item. That is, the ultrasonic unit does not work and the electronic unit works.

Claims

1. A metering method for an intelligent water meter, characterized in that, Including: By means of a combination method, at least three water flow monitoring units are arranged in the target intelligent 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, the water consumption segmented data of the target user is acquired to obtain segmented data items, and the segmented data items are used for segmenting the water consumption data of the target user and for expressing the first working matching degree of the water flow monitoring units; By means of a second acquisition method, the temperature and humidity data of the monitoring unit set are acquired to obtain a temperature information item and a humidity information item, and the temperature information item and the humidity information item are respectively used for expressing the second working matching degree of different water flow monitoring units; Based on the segmented data items, the temperature information item and the humidity information item, the monitoring unit set is matched by means of a matching method to obtain a target water flow monitoring unit, and metering work is carried out based on the target water flow monitoring unit, achieving an intelligent metering effect of automatically selecting an adapted water flow monitoring unit for automatic metering according to different environments; The matching method includes: Step 1: Attribute analysis, based on the monitoring unit set, the attribute information of the water flow monitoring units is respectively acquired to obtain at least three unit attribute items; Step 2: Requirement setting, based on the unit attribute items, the unit requirement information is respectively set, and the unit requirement information corresponds to the segmented data items, the temperature information item and the humidity information item respectively; Step 3: Information acquisition, the real-time temperature and real-time humidity data of the monitoring unit set are acquired to obtain a real-time temperature item and a real-time humidity item, and at the same time, the real-time water consumption data of the target user is acquired to obtain a matching segmented item; Step 4: Information matching, based on the matching results of the real-time temperature item, the real-time humidity item and the matching segmented item with the temperature information item, the humidity information item and the segmented data items, the water flow monitoring unit with the highest working matching degree is selected as the target water flow monitoring unit; The water flow monitoring unit includes a mechanical unit, an ultrasonic unit and an electronic unit, and the method for attribute analysis includes: S1: Attribute acquisition, the attribute information of the mechanical unit, the ultrasonic unit and the electronic unit is respectively acquired, and the attribute information includes influence factor information, to obtain influence factor items; S2: Influence ranking, the influence proportion of the influence factor items is acquired, and the influence factor items are ranked based on the proportion result to obtain influence ranking items; S3: Attribute screening, based on the influence ranking items, the target influence factors are screened out as matching factors, and the matching factors correspond to the mechanical unit, the ultrasonic unit and the electronic unit respectively; The first acquisition method includes: Set a first acquisition time to obtain a first acquisition time item, and based on the first acquisition time item, the water consumption data of the target user is continuously acquired by the monitoring unit set to obtain consumption data items; Set a division interval, divide the first acquisition time item based on the division interval to obtain a plurality of division interval items, and based on the consumption data items, the water consumption data of the division interval items is acquired to obtain interval data items; Based on the interval data items, the water consumption peak and the water consumption trough of the target user are acquired to obtain a peak item and a trough item, set an allocation interval, and based on the combined result of the allocation interval and the peak item and the trough item, obtain segmented data items; The second acquisition method includes: setting a second acquisition time to obtain a second acquisition time item, setting a first target acquisition device, and respectively acquiring the temperature and humidity data of the monitoring unit set based on the second acquisition time item to obtain the highest temperature item, the lowest temperature item, the highest humidity item, and the lowest humidity item, and respectively obtaining a temperature information item and a humidity information item 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.

2. The metering method of an intelligent water meter according to claim 1, characterized in that: The information acquisition method includes: respectively obtaining the corresponding targets of the segmented data item, the temperature information item, and the humidity information item for the matching factors corresponding to the mechanical unit, the ultrasonic unit, and the electronic unit, that is, the segmented data item, the temperature information item, and the humidity information item have the highest influence degrees on the mechanical unit, the ultrasonic unit, and the electronic unit respectively, to obtain a matching corresponding item, setting a first division item, a second division item, and a third division item, respectively dividing the segmented data item, the temperature information item, and the humidity information item to respectively obtain a required segmented item, a divided segmented item, a required temperature item, a divided temperature item, a required humidity item, and a divided humidity item, and the required segmented item, the required temperature item, and the required humidity item are respectively matched with the water flow monitoring unit.

3. The metering method of an intelligent water meter according to claim 2, characterized in that: The information matching method includes: determining whether the real-time temperature, the real-time humidity data, and the matching segmented item are within the required segmented item, the required temperature item, and the required humidity item. When the real-time temperature item is within 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 within 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 segmented item is within the required segmented 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.

4. The metering method of an intelligent water meter according to claim 1, characterized in that: The second acquisition method further includes: setting a floating item, where the floating item is a fixed time value, determining 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 excluded items, and the temperature and humidity data corresponding to the excluded items are acquired again.

5. The metering method of an intelligent water meter according to claim 1, characterized in that: The combination method includes: acquiring the fixed information of the water flow monitoring unit, where the fixed information includes name information, setting a combination limit, and acquiring the required water flow monitoring unit information based on the combination limit and the fixed information, and then selecting the water flow monitoring unit.

6. The metering method of an intelligent water meter according to claim 1, characterized in that: The combination method further includes: setting an influence interval, obtaining multiple layout feature points based on the influence interval, and respectively arranging the water flow monitoring units based on the layout feature points.

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