Intelligent water meter and water leakage detection system

Abstract

The invention relates to the technical field of Internet of Things and smart home, in particular to an intelligent water meter and water leakage detection system, which comprises a water consumption monitoring module, an abnormal water consumption reminding module and a water leakage detection module, and is characterized in that the water consumption monitoring module is used for monitoring water consumption data of each water consumption mode in daily use in real time; the data acquisition module is used for regularly acquiring total water consumption data of each water consumption mode on the day; the calculation module is used for calculating a daily water health coefficient; the display module is used for displaying the water consumption health coefficient of the day and the total water consumption data of each water consumption mode of the day; the abnormal water consumption reminding module is used for acquiring abnormal parameters; the water leakage detection module is used for detecting water flow parameters in a water pipe at regular time, calculating a water consumption abnormal coefficient and generating a reminding signal; calculating a water leakage risk coefficient; and the water leakage early warning system is used for generating a water leakage early warning signal and sending out early warning, so that the efficiency of daily water consumption monitoring and the real-time performance of early warning during abnormal water consumption and water leakage are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things and smart home, and in particular to a smart water meter and a water leakage detection system. Background Art

[0002] With the acceleration of urbanization and the improvement of residents' living standards, the management and utilization of water resources have become increasingly prominent. Traditional water meter systems mainly undertake simple water consumption metering functions, lacking in-depth analysis of water use behavior and intelligent means of water leakage detection. This traditional system has the following significant disadvantages: Traditional water meters have limitations in monitoring and recording water consumption. They can usually only provide total water consumption data, but cannot provide detailed water consumption information on different water use methods. This makes it difficult for users and managers to accurately understand water use behavior, making it difficult to formulate effective water-saving measures. Traditional water meter systems lack real-time abnormal water use reminders. In practical applications, abnormal water use behavior is often difficult to detect and handle in a timely manner, which not only wastes water resources, but may also threaten users' property and safety. Traditional water meters have obvious deficiencies in water leakage detection. Water leakage is one of the important reasons for water resource waste and property loss, but traditional water meters usually cannot monitor water flow parameters in water pipes in real time, so they cannot detect water leakage in time. Even if a leak is found, it requires manual investigation and repair, which increases the difficulty and cost of handling. The data communication and processing capabilities of traditional water meter systems are limited. They usually use wired communication, which has slow data transmission speed and is susceptible to interference. At the same time, due to limited data processing capabilities, the system cannot conduct in-depth analysis and mining of the collected data, and thus cannot provide users with more accurate and personalized water use recommendations. In the face of the many shortcomings of traditional water meter systems in data accuracy, real-time performance, data analysis and personalized services, the development of smart water meters and water leakage detection systems is particularly important.

[0003] Therefore, a smart water meter and water leakage detection system is proposed. Summary of the invention

[0004] The present invention aims to solve the problems that the current traditional water meters have limitations in monitoring and recording water consumption, and it is difficult to provide comprehensive and intuitive water consumption data for users to view. The traditional water meter system lacks a real-time abnormal water usage reminder function and is unable to remind users in time. The traditional water meter has obvious deficiencies in water leakage detection, and has limited data communication and processing capabilities, resulting in low efficiency in manual water leakage detection and information transmission.

[0005] The technical solution adopted by the present invention to solve its technical problem is:

[0006] An intelligent water meter and water leakage detection system, including a water consumption monitoring module, an abnormal water consumption reminder module and a water leakage detection module.

[0007] The water consumption monitoring module is used to monitor the water consumption data of various water consumption modes in daily use in real time and to display the water consumption data;

[0008] The abnormal water use reminder module is used to issue an early warning when water use is abnormal;

[0009] The water leakage detection module is used to monitor water leakage.

[0010] Furthermore, the water consumption monitoring module includes a water consumption monitoring module, a data processing module, a data calculation unit, a 5G communication module and a display unit.

[0011] The water consumption monitoring module is used to monitor the kitchen water consumption, washing water consumption and cleaning water consumption in daily life in real time, and then transmit the real-time monitored kitchen water consumption data, washing water consumption data and cleaning water consumption data to the data acquisition unit and the abnormal water consumption reminder module respectively;

[0012] The data processing unit is used to convert the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data into a real-time water consumption visual data table after receiving the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data, and then transmit the real-time water consumption visual data table to the 5G communication module;

[0013] The data calculation unit is used to calculate the total kitchen water consumption data, the total washing water consumption data and the total cleaning water consumption data after receiving the kitchen water consumption, the washing water consumption and the cleaning water consumption of the day; and is used to calculate the water health coefficient of the day according to the total kitchen water consumption data, the total washing water consumption data and the total cleaning water consumption data of the day and the preset daily healthy kitchen water consumption, the daily healthy total washing water consumption and the daily healthy total cleaning water consumption, and then transmit the calculated water health coefficient to the 5G communication module;

[0014] The 5G communication module is used to transmit the real-time visual data table of water consumption and the water health coefficient to the display unit after receiving the real-time visual data table of water consumption and the water health coefficient;

[0015] The display unit is used to display the real-time water consumption visual data table and the water consumption health coefficient after receiving the real-time water consumption visual data table and the water consumption health coefficient.

[0016] Furthermore, the calculation formula of water health coefficient is:

[0017]

[0018] Among them, I n is the water health coefficient on day n, is the total kitchen water consumption data on day n, in L, H1 is the preset daily healthy kitchen water consumption, in L, is the total water consumption for washing and brushing the teeth on the nth day, in L, H2 is the preset total daily healthy water consumption for washing and brushing the teeth, in L, is the total cleaning water consumption data for the nth day, and its unit is L. H3 is the preset daily healthy total cleaning water consumption, and its unit is L.

[0019] Furthermore, the abnormal water use reminder module includes an abnormal parameter acquisition module, an abnormal calculation unit, an abnormal reminder module and a first early warning module;

[0020] The water consumption monitoring module is used to monitor the kitchen water consumption, washing water consumption and cleaning water consumption in daily life in real time, and transmit the real-time monitored kitchen water consumption data, washing water consumption data and cleaning water consumption data to the abnormal parameter acquisition module;

[0021] The abnormal parameter acquisition module is used for, after receiving the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data, respectively comparing the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data with the preset kitchen water consumption abnormal threshold range, the washing water consumption abnormal threshold range and the cleaning water consumption abnormal threshold range, generating a first abnormal parameter, a second abnormal parameter and a third abnormal parameter, and then transmitting the generated first abnormal parameter, the second abnormal parameter and the third abnormal parameter to the abnormal calculation unit;

[0022] The abnormality calculation unit is used to calculate the water use abnormality coefficient according to the generated first abnormality parameter, the second abnormality parameter and the third abnormality parameter after receiving the generated first abnormality parameter, the second abnormality parameter and the third abnormality parameter, and then transmit the water use abnormality coefficient to the abnormality reminder module;

[0023] The abnormal reminder module is used to compare the abnormal water use coefficient with a preset abnormal water use coefficient threshold range after receiving the abnormal water use coefficient; and to generate an abnormal water use warning signal according to the comparison result, and then transmit the abnormal water use warning signal to the first warning module;

[0024] The first warning module is used to issue a buzzer alarm after receiving an abnormal water usage warning signal.

[0025] Further, the abnormal parameter acquisition module includes a first abnormal parameter acquisition unit, a second abnormal parameter acquisition unit and a third abnormal parameter acquisition unit;

[0026] The first abnormal parameter acquisition unit is used to compare the kitchen water consumption data with a preset kitchen water consumption abnormal threshold range after receiving the kitchen water consumption data, when the kitchen water consumption data is within the kitchen water consumption abnormal threshold range, the first abnormal parameter x1=1, otherwise the first abnormal parameter x1=0, and then transmit the first abnormal parameter to the abnormal calculation unit;

[0027] The second abnormal parameter acquisition unit is used to compare the washing water consumption data with a preset washing water consumption abnormal threshold range after receiving the washing water consumption data. When the washing water consumption data is within the washing water consumption abnormal threshold range, the second abnormal parameter x2=0.8, otherwise the second abnormal parameter x2=0; and then transmit the second abnormal parameter to the abnormal calculation unit;

[0028] The first abnormal parameter acquisition unit is used to compare the cleaning water consumption data with a preset cleaning water consumption abnormal threshold range after receiving the cleaning water consumption data. When the cleaning water consumption data is within the cleaning water consumption abnormal threshold range, the third abnormal parameter x3=0.6, otherwise the third abnormal parameter x3=0; then the third abnormal parameter is transmitted to the abnormal calculation unit.

[0029] Furthermore, the calculation formula of water use anomaly coefficient is:

[0030] E = ω1*x1+ω2*x2+ω3*x3;

[0031] Among them, E is the water use abnormality coefficient, ω1, ω2 and ω3 are weight coefficients, and ω1+ω2+ω3=1, x1 is the first abnormal parameter, and x1={1,0}, x2 is the second abnormal parameter, and x2={0.8,0}, x3 is the third abnormal parameter, and x3={0.6,0}.

[0032] Furthermore, the method of comparing the water use abnormality coefficient with the preset water use abnormality coefficient threshold range is as follows:

[0033]

[0034] Among them, E is the water use abnormality coefficient. When the output result is 1, an abnormal water use warning signal is generated.

[0035] Furthermore, the water leakage detection module includes a water pressure monitoring module, a flow monitoring module, a Zigbee module, a water leakage risk coefficient calculation unit, a water leakage judgment module and a second early warning module;

[0036] The water pressure monitoring module is used to regularly monitor the pressure values ​​at different time points in different water pipes, and then transmit the time data and pressure value data monitored in different water pipes to the Zigbee module;

[0037] The flow monitoring module is used to regularly monitor the real-time flow in different water pipes, and then transmit the real-time flow data in different water pipes to the Zigbee module;

[0038] The Zigbee module is used to transmit the time data, pressure value data and real-time flow data in different water pipes to the water leakage risk coefficient calculation unit after receiving the time data, pressure value data and real-time flow data in different water pipes;

[0039] The water leakage risk coefficient calculation unit is used to calculate the water leakage risk coefficient according to the time data, pressure value data, real-time flow data, water use abnormality coefficient and preset pressure change rate threshold, normal flow average value and normal flow standard deviation in different water pipes after receiving the time data and pressure value data in different water pipes, as well as the real-time flow data and water use abnormality coefficient, and then transmit the water leakage risk coefficient to the water leakage judgment module;

[0040] The water leakage judgment module is used to generate a water leakage warning signal when the water leakage risk coefficient is greater than the water leakage threshold, and then transmit the water leakage warning signal to the second warning module;

[0041] The second early warning module is used to sound an alarm after receiving a water leakage early warning signal.

[0042] Furthermore, the calculation formula of the water leakage risk coefficient is:

[0043]

[0044] Among them, LRF i is the leakage risk coefficient of the i-th water pipe, α1 and α2 are weight coefficients, and α1+α2=1, P(t) i is the pressure value data of the i-th water pipe at time t, its unit is MPa, Δt i is the time interval of the time data in the i-th water pipe, and its unit is h, P(t+Δt) i is the time t+Δt in the i-th water pipe i The pressure value data at the time of the test is in MPa, P stu is the preset pressure change rate threshold, its unit is MPa, Q i is the real-time flow data in the i-th water pipe, its unit is L / s, μ is the preset normal flow average value, its unit is L / s, σ is the preset normal flow standard deviation, k is the multiplication factor, and k∈(0,1), E is the water use abnormality coefficient.

[0045] Furthermore, the water pressure monitoring module comprises a plurality of pressure sensors and a plurality of programmable timers.

[0046] Beneficial effects of the present invention:

[0047] 1. The system monitors and displays the water consumption data of each water use mode in real time through the water use monitoring module, converts the water consumption data into a visual data table, and can use the water health coefficient to intuitively reflect the daily water use situation, so that users can clearly understand the daily water consumption situation.

[0048] 2. The abnormal water usage reminder module can promptly detect and remind users of abnormal water usage by comparing the water consumption data of each water use method with the preset abnormal threshold, effectively improving the user's sensitivity and response speed to water use abnormalities.

[0049] 3. The water leakage detection module can accurately calculate the water leakage risk coefficient by monitoring the water flow parameters in the water pipe, combining the water use abnormality coefficient and the preset water leakage judgment threshold. When a water leakage is confirmed, the system can quickly generate a water leakage warning signal and send out an alarm through the warning module, effectively avoiding property losses and safety hazards caused by water leakage.

[0050] 4. The system adopts advanced communication technologies such as 5G communication module and Zigbee module to achieve rapid data transmission and efficient processing. Modules such as data calculation unit and water leakage risk coefficient calculation unit can conduct in-depth analysis and calculation of data, providing strong support for the system's accurate monitoring and early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments are briefly introduced below. The drawings described below only relate to some embodiments of the present invention, but are not intended to limit the present invention.

[0052] In the attached picture:

[0053] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0054] The concept and technical effects of the present invention will be clearly and completely described below in conjunction with embodiments to fully understand the purpose, features and effects of the present invention.

[0055] See also Figure 1 ,

[0056] An intelligent water meter and water leakage detection system, including a water consumption monitoring module, an abnormal water consumption reminder module and a water leakage detection module.

[0057] The water consumption monitoring module is used to monitor the water consumption data of various water consumption modes in daily use in real time and to display the water consumption data;

[0058] The abnormal water use reminder module is used to issue an early warning when water use is abnormal;

[0059] The water leakage detection module is used to monitor water leakage.

[0060] In this embodiment, the water consumption monitoring module includes a water consumption monitoring module, a data processing module, a data calculation unit, a 5G communication module and a display unit.

[0061] The water consumption monitoring module is used to monitor the kitchen water consumption, washing water consumption and cleaning water consumption in daily life in real time, and then transmit the real-time monitored kitchen water consumption data, washing water consumption data and cleaning water consumption data to the data acquisition unit respectively. The water consumption monitoring module is an electronic water meter;

[0062] The data processing unit is used to convert the kitchen water consumption data, washing water consumption data and cleaning water consumption data into a real-time water consumption visual data table after receiving the kitchen water consumption data, washing water consumption data and cleaning water consumption data, and then transmit the real-time water consumption visual data table to the 5G communication module; the data processing unit is a microprocessor;

[0063] The data calculation unit is used to calculate the total kitchen water consumption data, the total washing water consumption data and the total cleaning water consumption data after receiving the kitchen water consumption, the washing water consumption and the cleaning water consumption of the day; and is used to calculate the water health coefficient of the day according to the total kitchen water consumption data, the total washing water consumption data and the total cleaning water consumption data of the day and the preset daily healthy kitchen water consumption, the daily healthy total washing water consumption and the daily healthy total cleaning water consumption, and then transmit the calculated water health coefficient to the 5G communication module, and the data calculation unit is a microprocessor;

[0064] The 5G communication module is used to transmit the real-time visual data table of water consumption and the water health coefficient to the display unit after receiving the real-time visual data table of water consumption and the water health coefficient;

[0065] The display unit is used to display the real-time visual data table of water consumption and the water health coefficient after receiving the real-time visual data table of water consumption and the water health coefficient. The display unit is a display.

[0066] In this embodiment, the calculation formula of the water health coefficient is:

[0067]

[0068] Among them, I n is the water health coefficient on day n, is the total kitchen water consumption data on day n, in L, H1 is the preset daily healthy kitchen water consumption, in L, is the total water consumption for washing and brushing the teeth on the nth day, in L, H2 is the preset total daily healthy water consumption for washing and brushing the teeth, in L, is the total cleaning water consumption data for the nth day, and its unit is L. H3 is the preset daily healthy total cleaning water consumption, and its unit is L.

[0069] For example, when H1=20L, H2=35L, H3=30L, the water health coefficient for the second day is calculated to be 0.9.

[0070] In this embodiment, the abnormal water use reminder module includes an abnormal parameter acquisition module, an abnormal calculation unit, an abnormal reminder module and a first early warning module;

[0071] The water consumption monitoring module is used to monitor the kitchen water consumption, washing water consumption and cleaning water consumption in daily life in real time, and transmit the real-time monitored kitchen water consumption data, washing water consumption data and cleaning water consumption data to the abnormal parameter acquisition module.

[0072] The abnormal parameter acquisition module is used to, after receiving the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data, respectively compare the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data with the preset kitchen water consumption abnormal threshold range, the washing water consumption abnormal threshold range and the cleaning water consumption abnormal threshold range, generate a first abnormal parameter, a second abnormal parameter and a third abnormal parameter, and then transmit the generated first abnormal parameter, the second abnormal parameter and the third abnormal parameter to the abnormal calculation unit, and the abnormal parameter acquisition module is a server;

[0073] The abnormality calculation unit is used to calculate the water use abnormality coefficient according to the generated first abnormality parameter, the second abnormality parameter and the third abnormality parameter after receiving the generated first abnormality parameter, the second abnormality parameter and the third abnormality parameter, and then transmit the water use abnormality coefficient to the abnormality reminder module, and the abnormality calculation unit is a processor;

[0074] The abnormal reminder module is used to compare the abnormal water use coefficient with a preset abnormal water use coefficient threshold range after receiving the abnormal water use coefficient; and to generate an abnormal water use warning signal according to the comparison result, and then transmit the abnormal water use warning signal to the first warning module, and the abnormal reminder module is a processor;

[0075] The first warning module is used to send out a buzzer alarm after receiving the reminder information data; the first warning module is a buzzer alarm.

[0076] In this embodiment, the abnormal parameter acquisition module includes a first abnormal parameter acquisition unit, a second abnormal parameter acquisition unit and a third abnormal parameter acquisition unit;

[0077] The first abnormal parameter acquisition unit is used to compare the kitchen water consumption data with a preset kitchen water consumption abnormal threshold range after receiving the kitchen water consumption data, when the kitchen water consumption data is within the kitchen water consumption abnormal threshold range, the first abnormal parameter x1=1, otherwise the first abnormal parameter x1=0, and then transmit the first abnormal parameter to the abnormal calculation unit;

[0078] The second abnormal parameter acquisition unit is used to compare the washing water consumption data with a preset washing water consumption abnormal threshold range after receiving the washing water consumption data. When the washing water consumption data is within the washing water consumption abnormal threshold range, the second abnormal parameter x2=0.8, otherwise the second abnormal parameter x2=0; and then transmit the second abnormal parameter to the abnormal calculation unit;

[0079] The first abnormal parameter acquisition unit is used to compare the cleaning water consumption data with a preset cleaning water consumption abnormal threshold range after receiving the cleaning water consumption data. When the cleaning water consumption data is within the cleaning water consumption abnormal threshold range, the third abnormal parameter x3=0.6, otherwise the third abnormal parameter x3=0; then the third abnormal parameter is transmitted to the abnormal calculation unit.

[0080] In this embodiment, the calculation formula of the water use abnormality coefficient is:

[0081] E = ω1*x1+ω2*x2+ω3*x3;

[0082] Among them, E is the water use abnormality coefficient, ω1, ω2 and ω3 are weight coefficients, and ω1+ω2+ω3=1, x1 is the first abnormal parameter, and x1={1,0}, x2 is the second abnormal parameter, and x2={0.8,0}, x3 is the third abnormal parameter, and x3={0.6,0}.

[0083] For example, when ω1=0.4, ω2=0.3, ω3=0.3, x1=1, x2=0, x3=0.6, the water use abnormality coefficient is calculated to be 0.58.

[0084] In this embodiment, the method of comparing the water use abnormality coefficient with the preset water use abnormality coefficient threshold range is:

[0085]

[0086] Among them, E is the water use abnormality coefficient. When the output result is 1, an abnormal water use warning signal is generated.

[0087] In this embodiment, the water leakage detection module includes a water pressure monitoring module, a flow monitoring module, a Zigbee module, a water leakage risk coefficient calculation unit, a water leakage judgment module and a second early warning module;

[0088] The water pressure monitoring module is used to regularly monitor the pressure values ​​at different time points in different water pipes, and then transmit the time data and pressure value data monitored in different water pipes to the Zigbee module;

[0089] The flow monitoring module is used to regularly monitor the real-time flow in different water pipes, and then transmit the real-time flow data in different water pipes to the Zigbee module. The flow monitoring module is a plurality of flow sensors;

[0090] The Zigbee module is used to transmit the time data, pressure value data and real-time flow data in different water pipes to the water leakage risk coefficient calculation unit after receiving the time data, pressure value data and real-time flow data in different water pipes;

[0091] The water leakage risk coefficient calculation unit is used to calculate the water leakage risk coefficient according to the time data, pressure value data, real-time flow data, water use abnormality coefficient and preset pressure change rate threshold, normal flow average value and normal flow standard deviation in different water pipes after receiving the time data and pressure value data in different water pipes, as well as the real-time flow data and water use abnormality coefficient, and then transmit the water leakage risk coefficient to the water leakage judgment module;

[0092] The water leakage judgment module is used to generate a water leakage warning signal when the water leakage risk coefficient is greater than the water leakage threshold, and then transmit the water leakage warning signal to the second warning module;

[0093] The second warning module is used to sound an alarm after receiving a water leakage warning signal; the second warning module is an alarm device.

[0094] In this embodiment, the calculation formula of the water leakage risk coefficient is:

[0095]

[0096] Among them, LRF i is the leakage risk coefficient of the i-th water pipe, α1 and α2 are weight coefficients, and α1+α2=1, P(t) i is the pressure value data of the i-th water pipe at time t, its unit is MPa, Δt i is the time interval of the time data in the i-th water pipe, and its unit is h, P(t+Δt) i is the time t+Δt in the i-th water pipe i The pressure value data at the time of the test is in MPa, P stu is the preset pressure change rate threshold, its unit is MPa, Q i is the real-time flow data in the i-th water pipe, its unit is L / s, μ is the preset normal flow average value, its unit is L / s, σ is the preset normal flow standard deviation, k is the multiplication factor, and k∈(0,1), E is the water use abnormality coefficient.

[0097] For example, when α1=0.6,α2=0.5,P(t)3=0.1MPa,P(t+Δt)3=0.5MPa,Δt3=0.1h,P stu =0.01MPa, Q i=13L / s, μ=9L / s, σ=1L / s, k=0.8, E=0.58, at this time the leakage risk coefficient of the third water pipe is calculated to be 3.7, and when the leakage risk coefficient is greater than or equal to 2, it is determined that the water pipe is leaking.

[0098] In this embodiment, the water pressure monitoring module is a plurality of pressure sensors and a plurality of programmable timers.

[0099] In summary, the present invention converts water consumption data into a visual data table, and can use the water health coefficient to intuitively reflect the daily water consumption situation, so that users can clearly understand the daily water consumption situation. The abnormal water use reminder module can timely discover and remind users of abnormal water consumption by comparing the water consumption data of each water use mode with the preset abnormal threshold, effectively improving the user's sensitivity and response speed to water use anomalies. By monitoring the water flow parameters in the water pipe, combined with the water use abnormality coefficient and the preset leakage judgment threshold, the leakage risk coefficient can be accurately calculated. When the existence of a leakage is confirmed, the system can quickly generate a leakage warning signal and send an alarm through the warning module, effectively avoiding property losses and safety hazards caused by leakage, realizing rapid transmission and efficient processing of data, and providing strong support for the system's accurate monitoring and early warning.

[0100] The above embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, other embodiments obtained by those skilled in the art without creative work shall all fall within the scope of protection of the present invention.

Claims

1. A smart water meter and water leakage detection system, characterized in that: It includes water usage monitoring module, abnormal water usage reminder module and water leakage detection module. The water consumption monitoring module is used to monitor the water consumption data of various water consumption modes in daily use in real time, and to display the water consumption data; The abnormal water use reminder module is used to issue an early warning when water use is abnormal; The water leakage detection module is used to monitor water leakage.

2. The intelligent water meter and water leakage detection system according to claim 1, characterized in that: The water consumption monitoring module includes a water consumption monitoring module, a data processing module, a data calculation unit, a 5G communication module and a display unit. The water consumption monitoring module is used to monitor the kitchen water consumption, washing water consumption and cleaning water consumption in daily life in real time, and then transmit the real-time monitored kitchen water consumption data, washing water consumption data and cleaning water consumption data to the data acquisition unit and the abnormal water consumption reminder module respectively; The data processing unit is used to convert the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data into a real-time water consumption visual data table after receiving the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data, and then transmit the real-time water consumption visual data table to the 5G communication module; The data calculation unit is used to calculate the total kitchen water consumption data, the total washing water consumption data and the total cleaning water consumption data after receiving the kitchen water consumption, washing water consumption and cleaning water consumption on the day; And used to calculate the water health coefficient of the day according to the total kitchen water consumption data, the total washing water consumption data and the total cleaning water consumption data of the day and the preset daily healthy kitchen water consumption, the daily healthy total washing water consumption and the daily healthy total cleaning water consumption, and then transmit the calculated water health coefficient to the 5G communication module; The 5G communication module is used to transmit the real-time visual data table of water consumption and the water health coefficient to the display unit after receiving the real-time visual data table of water consumption and the water health coefficient; The display unit is used to display the real-time water consumption visual data table and the water consumption health coefficient after receiving the real-time water consumption visual data table and the water consumption health coefficient.

3. The intelligent water meter and water leakage detection system according to claim 2, characterized in that: The calculation formula of the water health coefficient is: Among them, I n is the water health coefficient on day n, is the total kitchen water consumption data on day n, in L, H1 is the preset daily healthy kitchen water consumption, in L, is the total water consumption for washing and brushing the teeth on the nth day, in L, H2 is the preset total daily healthy water consumption for washing and brushing the teeth, in L, is the total cleaning water consumption data for the nth day, and its unit is L. H3 is the preset daily healthy total cleaning water consumption, and its unit is L.

4. The intelligent water meter and water leakage detection system according to claim 2, characterized in that: The abnormal water use reminder module includes an abnormal parameter acquisition module, an abnormal calculation unit, an abnormal reminder module and a first early warning module; The water consumption monitoring module is used to monitor the kitchen water consumption, washing water consumption and cleaning water consumption in daily life in real time, and transmit the real-time monitored kitchen water consumption data, washing water consumption data and cleaning water consumption data to the abnormal parameter acquisition module; The abnormal parameter acquisition module is used for, after receiving the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data, respectively comparing the kitchen water consumption data, the washing water consumption data and the cleaning water consumption data with the preset kitchen water consumption abnormal threshold range, the washing water consumption abnormal threshold range and the cleaning water consumption abnormal threshold range, generating a first abnormal parameter, a second abnormal parameter and a third abnormal parameter, and then transmitting the generated first abnormal parameter, the second abnormal parameter and the third abnormal parameter to the abnormal calculation unit; The abnormality calculation unit is used to calculate the water use abnormality coefficient according to the generated first abnormality parameter, the second abnormality parameter and the third abnormality parameter after receiving the generated first abnormality parameter, the second abnormality parameter and the third abnormality parameter, and then transmit the water use abnormality coefficient to the abnormality reminder module; The abnormal reminder module is used to compare the abnormal water use coefficient with a preset abnormal water use coefficient threshold range after receiving the abnormal water use coefficient; and to generate an abnormal water use warning signal according to the comparison result, and then transmit the abnormal water use warning signal to the first warning module; The first warning module is used to issue a buzzer alarm after receiving an abnormal water usage warning signal.

5. The intelligent water meter and water leakage detection system according to claim 4, characterized in that: The abnormal parameter acquisition module includes a first abnormal parameter acquisition unit, a second abnormal parameter acquisition unit and a third abnormal parameter acquisition unit; The first abnormal parameter acquisition unit is used to compare the kitchen water consumption data with a preset kitchen water consumption abnormal threshold range after receiving the kitchen water consumption data, and when the kitchen water consumption data is within the kitchen water consumption abnormal threshold range, the first abnormal parameter x1=1, otherwise the first abnormal parameter x1=0, and then transmit the first abnormal parameter to the abnormal calculation unit; The second abnormal parameter acquisition unit is used to compare the washing water consumption data with a preset washing water consumption abnormal threshold range after receiving the washing water consumption data. When the washing water consumption data is within the washing water consumption abnormal threshold range, the second abnormal parameter x2=0.8, otherwise the second abnormal parameter x2=0; and then transmit the second abnormal parameter to the abnormal calculation unit; The first abnormal parameter acquisition unit is used to compare the cleaning water consumption data with a preset cleaning water consumption abnormal threshold range after receiving the cleaning water consumption data. When the cleaning water consumption data is within the cleaning water consumption abnormal threshold range, the third abnormal parameter x3=0.6, otherwise the third abnormal parameter x3=0; then the third abnormal parameter is transmitted to the abnormal calculation unit.

6. The intelligent water meter and water leakage detection system according to claim 5, characterized in that: The calculation formula of the water use abnormality coefficient is: E = ω1*x1+ω2*x2+ω3*x3; Among them, E is the water use abnormality coefficient, ω1, ω2 and ω3 are weight coefficients, and ω1+ω2+ω3=1, x1 is the first abnormal parameter, and x1={1,0}, x2 is the second abnormal parameter, and x2={0.8,0}, x3 is the third abnormal parameter, and x3={0.6,0}.

7. The intelligent water meter and water leakage detection system according to claim 6, characterized in that: The method of comparing the water use abnormality coefficient with the preset water use abnormality coefficient threshold range is: Among them, E is the water use abnormality coefficient. When the output result is 1, an abnormal water use warning signal is generated.

8. The intelligent water meter and water leakage detection system according to claim 1, characterized in that: The water leakage detection module includes a water pressure monitoring module, a flow monitoring module, a Zigbee module, a water leakage risk coefficient calculation unit, a water leakage judgment module and a second early warning module; The water pressure monitoring module is used to regularly monitor the pressure values ​​at different time points in different water pipes, and then transmit the time data and pressure value data monitored in different water pipes to the Zigbee module; The flow monitoring module is used to regularly monitor the real-time flow in different water pipes, and then transmit the real-time flow data in different water pipes to the Zigbee module; The Zigbee module is used to transmit the time data, pressure value data and real-time flow data in different water pipes to the water leakage risk coefficient calculation unit after receiving the time data, pressure value data and real-time flow data in different water pipes; The water leakage risk coefficient calculation unit is used to calculate the water leakage risk coefficient according to the time data, pressure value data, real-time flow data, water use abnormality coefficient and preset pressure change rate threshold, normal flow average value and normal flow standard deviation in different water pipes after receiving the time data and pressure value data in different water pipes, as well as the real-time flow data and water use abnormality coefficient, and then transmit the water leakage risk coefficient to the water leakage judgment module; The water leakage judgment module is used to generate a water leakage warning signal when the water leakage risk coefficient is greater than the water leakage threshold, and then transmit the water leakage warning signal to the second warning module; The second warning module is used to sound an alarm after receiving a water leakage warning signal.

9. The intelligent water meter and water leakage detection system according to claim 8, characterized in that: The calculation formula of the water leakage risk coefficient is: Among them, LRF i is the leakage risk coefficient of the i-th water pipe, α1 and α2 are weight coefficients, and α1+α2=1, P(t) i is the pressure value data of the i-th water pipe at time t, its unit is MPa, Δt i is the time interval of the time data in the i-th water pipe, and its unit is h, P(t+Δt) i is the time t+Δt in the i-th water pipe i The pressure value data at the time of the test is in MPa, P stu is the preset pressure change rate threshold, its unit is MPa, Q i is the real-time flow data in the i-th water pipe, its unit is L / s, μ is the preset normal flow average value, its unit is L / s, σ is the preset normal flow standard deviation, k is the multiplication factor, and k∈(0,1), E is the water use abnormality coefficient.

10. The intelligent water meter and water leakage detection system according to claim 8, characterized in that: The water pressure monitoring module comprises a plurality of pressure sensors and a plurality of programmable timers.

Images