A multi-parameter joint detection and waterproof warning method for water meters

Abstract

The present invention discloses a waterproof warning method for joint detection of multiple parameters of a water meter, which relates to the technical field of joint detection. It includes periodically collecting coating aging parameters to generate a set of coating environment parameter data; according to the set of coating environment parameter data, combining with the coating material aging model, calculating the coating aging rate; performing correlation analysis on the coating aging rate and a preset coating waterproofing ability degradation curve, calculating the remaining waterproof life of the housing coating, and generating corresponding waterproof life data; according to the waterproof life data, determining in real time whether there is abnormal coating aging; and sending the abnormal warning signal to the user terminal. The present invention can not only monitor the coating aging in real time, but also accurately calculate the remaining waterproof life of the coating in combination with environmental changes, so as to realize timely warning of abnormal coating aging of the water meter and optimize the accuracy of waterproof life prediction.

Description

Technical Field

[0001] The present invention relates to the technical field of joint detection, and in particular to a method for joint detection and waterproof warning of multiple parameters of a water meter. Background Art

[0002] As a basic tool for urban water management and industrial facility monitoring, the stability of the performance of a water meter directly affects the normal operation of the water supply system. Traditional water meters mainly rely on mechanical counting and battery power supply. However, with the popularization of smart water meters, smart water meters based on digital and sensor technologies have become the mainstream. These smart water meters are equipped with various sensors for real-time monitoring of parameters such as water flow, pressure, and temperature, and have functions of remote data transmission and real-time alarm, improving the monitoring efficiency of water resources. However, with the change of the external environment and the increase of the usage time, the coating of the water meter shell gradually ages, the waterproof performance decreases, which may cause the internal components of the water meter to be damaged by moisture, affecting the accuracy of data collection and the service life of the equipment. Therefore, how to predict and evaluate the aging condition of the water meter coating and the remaining waterproof life has become an important issue in the current field of smart water meters.

[0003] In the prior art, the detection methods for the aging of the water meter coating mainly rely on regular manual inspections or visual inspections based on the appearance of the water meter. However, these methods have great limitations. First, manual inspections consume a lot of time and cost and cannot perform real-time monitoring. Second, visual inspections cannot accurately quantify the degree of coating aging and are prone to misjudgment or omission. In addition, some sensor-based aging detection methods usually simply rely on environmental parameters such as temperature and humidity, ignoring the influence of key factors such as ultraviolet irradiation intensity on the coating aging rate. Summary of the Invention

[0004] In view of the problems existing in the above background art, the present invention provides a method for joint detection and waterproof warning of multiple parameters of a water meter.

[0005] Therefore, the problem to be solved by the present invention is how to effectively combine with the prediction and warning of the waterproof life to perform timely detection of coating aging and calculation of the coating aging rate.

[0006] To solve the above technical problems, the present invention provides the following technical solutions

[0007] In a first aspect, the present invention provides a method for joint detection and waterproof warning of multiple parameters of a water meter, which includes: by arranging an ultraviolet sensor and a temperature and humidity sensor on the surface of the water meter housing, regularly collecting coating aging parameters to generate a set of coating environment parameter data; according to the set of coating environment parameter data, combining with a coating material aging model, calculating the coating aging rate, where the coating aging rate is used to characterize the degradation degree of the coating in the current environment; performing correlation analysis on the coating aging rate and a preset coating waterproofing ability decline curve, and combining with the initial waterproof life parameter of the water meter housing to calculate the remaining waterproof life of the housing coating and generate corresponding waterproof life data; according to the waterproof life data, determining in real time whether there is abnormal coating aging, and if an abnormality is detected, generating an abnormal warning signal and recording the set of environmental parameter data at the time of the abnormality; sending the abnormal warning signal to a user terminal and simultaneously sending the set of environmental parameter data at the time of the abnormality.

[0008] As a preferred solution of the method for joint detection and waterproof warning of multiple parameters of the water meter according to the present invention, wherein: the ultraviolet sensor is installed on the outer surface of the water meter housing, and by sensing the intensity of external ultraviolet radiation, outputs an electrical signal proportional to the ultraviolet intensity, and after analog-to-digital conversion, the electrical signal is converted into a digital signal; the temperature and humidity sensor is installed on the side or surface of the water meter to monitor the temperature and humidity data outside the water meter in real time, and after analog-to-digital conversion of the temperature and humidity data output by the temperature and humidity sensor, it is converted into a digital signal.

[0009] As a preferred solution of the method for joint detection and waterproof warning of multiple parameters of the water meter according to the present invention, wherein: the process of calculating the coating aging rate by combining with the coating material aging model includes: establishing a mathematical model between coating aging and environmental parameters, and the calculation of the mathematical model is:

[0010] Wherein, is the aging rate of the coating, is the initial aging rate constant of the coating material, is the influence factor of ultraviolet intensity on the aging rate, is the ultraviolet irradiation intensity, is the influence coefficient of temperature on the aging rate, is the environmental temperature, is the influence coefficient of humidity on the aging rate, is the environmental humidity, is the constant of the interaction term of humidity and temperature; dynamically correcting the coating aging rate according to the real-time monitored coating physical properties: assuming that the change in the surface hardness of the coating monitored in real time has a correction effect on the aging rate, the corrected aging rate is:

[0011] Wherein, is the corrected coating aging rate, is the influence factor of hardness change on aging rate, is the change amount of coating hardness; Nonlinear correction is carried out by combining various environmental parameters, and finally the comprehensive aging rate of the coating is obtained. The correction formula is as follows:

[0012] wherein, is the finally corrected coating aging rate, is the th correction factor of the aging rate by the th th environmental or physical characteristic quantity, is the th nonlinear exponential coefficient of the characteristic quantity, is the number of factors affecting the coating aging rate.

[0013] As a preferred scheme of the multi-parameter joint detection and waterproof warning method for water meters described in the present invention, wherein: The correlation analysis includes: establishing a mapping relationship between the aging rate and the waterproof ability according to the relationship between the coating aging rate and the waterproof ability decline curve, which is specifically expressed as follows:

[0014]

[0015] wherein, is the waterproof ability at time , is the initial waterproof ability, is the waterproof ability decline rate coefficient, is the coating aging rate at time .

[0016] As a preferred scheme of the multi-parameter joint detection and waterproof warning method for water meters described in the present invention, wherein: The calculation formula for the remaining waterproof life of the housing coating is: Assuming that the waterproof life is inversely proportional to the waterproof ability, the formula is as follows:

[0017] wherein, is the remaining waterproof life, is the initial waterproof life parameter.

[0018] As a preferred scheme of the multi-parameter joint detection and waterproof warning method for water meters described in the present invention, wherein: The calculation process of the waterproof life data is: Through statistical regression methods, according to the mapping relationship between the aging rate and the waterproof ability, prediction data of the waterproof life is generated, and the formula is as follows:

[0019] wherein, is the predicted waterproof life, is the weight of historical data, is the historical moment, is the remaining waterproof life, is the current period or time step in the prediction process or data sequence.

[0020] As a preferred solution of the multi-parameter joint detection waterproof warning method for water meters according to the present invention, wherein: the judgment of whether there is abnormal coating aging includes: comparing the waterproof life data obtained in real time with a preset abnormal threshold; the abnormal threshold is obtained based on empirical data or historical measurements, and represents the critical value of the rapid decline of the coating waterproof ability; if the waterproof life data is less than the abnormal threshold, it indicates that the coating is aging abnormally, the waterproof ability has decreased significantly, and it is necessary to enter the alarm state, generate an abnormal warning signal, and prompt the user or relevant personnel to check the waterproof state of the water meter coating in time.

[0021] In a second aspect, the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the multi-parameter joint detection waterproof warning method for water meters as described in the first aspect of the present invention are implemented.

[0022] In a third aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, wherein: when the computer program instructions are executed by the processor, the steps of the multi-parameter joint detection waterproof warning method for water meters as described in the first aspect of the present invention are implemented.

[0023] The beneficial effects of the present invention are: the present invention can not only monitor the coating aging in real time, but also accurately calculate the remaining waterproof life of the coating in combination with environmental changes, so as to realize the timely warning of abnormal coating aging of the water meter, optimize the accuracy of waterproof life prediction, break through the limitation in the prior art that the coating aging process cannot be dynamically and accurately evaluated, improve the reliability and service life of the water meter, and have important significance for ensuring the long-term stable operation of the water meter. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0025] Figure 1 is the flow chart of the multi-parameter joint detection waterproof warning method for water meters. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification.

[0027] In the following description, many specific details are set forth to facilitate a thorough understanding of the present invention. However, the present invention may be practiced in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0028] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it an independent or selectively exclusive embodiment with other embodiments. Embodiment 1

[0029] Referring to Figure 1 , this is the first embodiment of the present invention. This embodiment provides a method for waterproof warning of multi-parameter joint detection of a water meter, including:

[0030] S1: By arranging ultraviolet sensors and temperature and humidity sensors on the surface of the water meter housing, regularly collect coating aging-related parameters such as ultraviolet irradiation intensity, ambient temperature, and humidity, and generate a coating environment parameter data set.

[0031] Specifically, the ultraviolet sensor is installed on the outer surface of the water meter housing at a position facing the sunlight irradiation direction to ensure that the sensor can capture the intensity of solar ultraviolet rays, especially the ultraviolet radiation in an all-weather environment.

[0032] The ultraviolet sensor senses the intensity of external ultraviolet radiation and outputs an electrical signal proportional to the ultraviolet intensity. This electrical signal is converted into a digital signal through analog-to-digital conversion (ADC) for subsequent data processing. The data of ultraviolet intensity has a direct impact on the aging rate of the coating because ultraviolet radiation is one of the main factors causing coating aging, especially in outdoor environments.

[0033] The temperature and humidity sensor should be installed on the side of the water meter or on the surface close to the water meter housing, avoiding excessive exposure to water flow or direct contact with wet areas, and ensuring that the sensor can accurately capture the changes in the ambient temperature and humidity outside the water meter.

[0034] The temperature and humidity sensor combines temperature and humidity sensing elements to be able to monitor the temperature and humidity data outside the water meter in real time. The change in temperature directly affects the thermal expansion and aging of the coating, while humidity is related to the water vapor penetration and corrosion rate of the coating. The temperature and humidity data output by the sensor are converted into digital signals through analog-to-digital conversion for data processing and analysis.

[0035] The data set should include the acquisition time, the data of each sensor (ultraviolet intensity, temperature, humidity), and the relevant status information (such as sensor status, acquisition quality, etc.).

[0036] Optionally, the working status of the sensor is self-checked regularly to determine whether it is operating normally.

[0037] S2: According to the data set of the coating environment parameters, combined with the coating material aging model, calculate the coating aging rate, and the aging rate is used to characterize the degradation degree of the coating in the current environment.

[0038] S2.1: According to the data set of the coating environment parameters in step S1, establish a mathematical model between the coating aging and the environment parameters. The specific formula is as follows:

[0039] Among them, is the aging rate of the coating, is the initial aging rate constant of the coating material, is the influence factor of ultraviolet intensity on the aging rate, is the ultraviolet irradiation intensity, is the influence coefficient of temperature on the aging rate, is the environmental temperature, is the influence coefficient of humidity on the aging rate, is the environmental humidity, is the constant of the interaction term of humidity and temperature.

[0040] It can be seen that with the support of historical data or experimental data, establish the contribution relationship of each environment parameter to the coating degradation rate, and output an aging rate function affected by multiple environment factors such as ultraviolet intensity, temperature and humidity. This mathematical model can provide real-time aging rate prediction in a dynamic environment and reflect the degradation degree of the coating under the current environmental conditions.

[0041] S2.2: Dynamically correct the coating aging rate according to the physically monitored coating properties (such as coating hardness, crack development, etc.). Assuming that the change in the surface hardness of the coating monitored in real time has a correction effect on the aging rate, the corrected aging rate is:

[0042] Among them, is the corrected coating aging rate, is the influence factor of hardness change on the aging rate, is the change amount of the coating hardness.

[0043] For example, in areas with a relatively high intensity of ultraviolet radiation, a higher weight is given to the ultraviolet intensity, while in regions with higher temperature and humidity, higher weights are given to humidity and temperature. Through this weighted adjustment, the accuracy of calculating the coating aging rate is further improved.

[0044] S2.3: Perform non-linear correction by combining multiple environmental parameters (ultraviolet, temperature and humidity, hardness, etc.), and finally obtain the comprehensive aging rate of the coating. The correction formula is as follows:

[0045] Among them, is the finally corrected coating aging rate, is the correction factor of the th factor on the aging rate, is the th environmental or physical characteristic quantity (such as temperature, humidity, hardness, etc.), is the th non-linear exponential coefficient of the characteristic quantity, reflecting the influence mode of this characteristic quantity on the aging rate, is the number of factors affecting the coating aging rate.

[0046] Since the coating aging is a long-term process, the influence of early environmental parameters may be relatively small, and as time goes by, the influence of the environment on the coating gradually becomes apparent.

[0047] Therefore, by real-time monitoring the change of the coating aging rate, comparing it with historical data, and combining the feedback of other sensors (such as changes in physical properties such as coating surface cracks, adhesion, hardness, etc.), the aging rate model is dynamically corrected. If it is detected that the aging rate deviation is too large, the feedback mechanism is activated to adjust the mathematical model parameters. In this way, it can be ensured that the model is always dynamically updated according to the actual environment and the degradation state of the coating material, improving the accuracy and adaptability of calculating the coating aging rate.

[0048] S3: Perform correlation analysis between the coating aging rate and a preset curve of the decline in the waterproof ability of the coating, and combine the initial waterproof life parameters of the water meter housing to calculate the remaining waterproof life of the housing coating and generate corresponding waterproof life data.

[0049] First, according to the relationship between the coating aging rate and the curve of the decline in the waterproof ability, establish a mapping relationship between the aging rate and the waterproof ability.

[0050] Specifically, by analyzing the relationship between the coating aging rate and the curve of the decline in the waterproof ability, determine their relationship, and use the non-linear regression analysis method to link the aging rate of the coating with the speed of the decline in the waterproof ability, which is specifically expressed as follows:

[0051] Among them, is the waterproof ability at time , is the initial waterproof ability, is the waterproof ability degradation rate coefficient, is time , and

[0052] Dynamically predicting the change of the waterproof ability of the coating over time according to the aging rate of the coating enhances the dynamic correlation between the waterproof ability and the coating aging rate, and can more accurately reflect the impact of the aging process on the waterproof ability.

[0053] Furthermore, combining the initial waterproof life parameters of the water meter housing, the remaining waterproof life is calculated.

[0054] According to the known initial waterproof life parameters and the dynamic change of the waterproof ability, the remaining waterproof life is calculated by combining the waterproof ability degradation curve.

[0055] Assuming that the waterproof life is inversely proportional to the waterproof ability, the formula is as follows:

[0056] where is the remaining waterproof life, with the unit of hour.

[0057] Even further, using historical data and the simulation results of the coating aging process, through statistical regression methods, according to the mapping relationship between the aging rate and the waterproof ability, prediction data of the waterproof life is generated, and the formula is as follows:

[0058] where is the predicted waterproof life, is the weight of historical data, is the historical time of the remaining waterproof life, is the current cycle or time step in the prediction process or data sequence.

[0059] S4: According to the waterproof life data, it is determined in real time whether there is an abnormal coating aging. If an abnormality is detected, an abnormal warning signal is generated and the environmental parameter data set at the time of the abnormality is recorded.

[0060] Preferably, by comparing the waterproof life data obtained in real time with a preset abnormal threshold. Among them, the abnormal threshold is obtained based on empirical data or historical measurements and is a critical value indicating a rapid decline in the waterproof ability of the coating; if If it is less than the abnormal threshold, it indicates that the coating aging is abnormal and the waterproof ability has decreased significantly. It is necessary to enter the alarm state, generate an abnormal warning signal, and prompt the user or relevant personnel to check the waterproof status of the water meter coating in time; otherwise, it indicates that the coating aging is normal.

[0061] Among them, the warning signal includes information such as the time, location, and degree of coating aging when the current abnormality occurs.

[0062] Optionally, the recorded environmental parameter data is stored in a database or cloud storage for subsequent analysis, model optimization, etc. This data can be used to train the prediction model of coating aging or adjust the prediction accuracy of the existing model.

[0063] S5: Send the abnormal warning signal to the user terminal, and at the same time send the set of environmental parameter data when the abnormality occurs.

[0064] After step S4 detects that the coating aging is abnormal and generates a warning signal, the abnormal warning signal is sent to the user terminal device (such as a smart phone, computer, cloud platform, etc.) in time through a communication module (such as Wi-Fi, Bluetooth, ZigBee, etc.). The abnormal warning signal includes the current abnormal type, occurrence time, and relevant environmental parameter data.

[0065] Among them, the environmental parameters include key data such as ultraviolet irradiation intensity, temperature, and humidity.

[0066] This embodiment also provides a computer device applicable to the case of the water meter multi-parameter joint detection waterproof warning method, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the water meter multi-parameter joint detection waterproof warning method proposed in the above embodiment.

[0067] This computer device can be a terminal. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of this computer device is used to provide computing and control capabilities. The memory of this computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of this computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of this computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of this computer device can be a touch layer covered on the display screen, or a button, trackball, or touchpad set on the shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0068] This embodiment also provides a storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the method for waterproof warning by jointly detecting multiple parameters of a water meter as proposed in the above embodiment.

[0069] In summary, the present invention can not only monitor the coating aging in real time, but also accurately calculate the remaining waterproof life of the coating in combination with environmental changes, so as to realize the timely warning of abnormal coating aging of the water meter and optimize the accuracy of waterproof life prediction. It breaks through the limitation in the prior art that the coating aging process cannot be dynamically and accurately evaluated, improves the reliability and service life of the water meter, and is of great significance for ensuring the long-term stable operation of the water meter. Embodiment Two

[0070] Referring to Table 1 and Table 2, this is the second embodiment of the present invention. This embodiment provides a method for waterproof warning by jointly detecting multiple parameters of a water meter. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0071] In this experiment, an experimental environment based on an ultraviolet sensor, a temperature and humidity sensor, and other environmental parameter acquisition devices was set up. The main purpose of the experiment is to calculate the aging rate of the coating by collecting environmental data related to coating aging, and predict the remaining waterproof life of the water meter housing in combination with the curve of the decline in the waterproof ability of the coating.

[0072] The specific experimental process includes:

[0073] First of all, in the experiment, an intelligent water meter with coating protection was selected as the experimental object, and an ultraviolet sensor and a temperature and humidity sensor were arranged on the surface of the water meter housing. The ultraviolet sensor is installed on the outer surface of the water meter, directly facing the sunlight, ensuring that the ultraviolet intensity can be accurately measured; the temperature and humidity sensor is located on the side of the water meter, avoiding direct contact with the water flow and moisture areas, ensuring the accuracy of temperature and humidity data.

[0074] Every 1 hour, the ultraviolet sensor and the temperature and humidity sensor will collect data once. The collected data includes the ultraviolet irradiation intensity (unit: W / m²), the ambient temperature (unit: °C), and the humidity (unit: %). These data form a set of coating environment parameter data, providing basic data for the subsequent calculation of the coating aging rate.

[0075] According to the mathematical model in step S2, the aging rate of the coating is determined by environmental parameters such as ultraviolet irradiation intensity, temperature, and humidity. Through experimental data, a preliminary coating aging rate model was established and dynamically corrected by continuously monitoring physical properties such as the surface hardness and crack development of the coating. For the non-linear correction of the coating aging rate, the interaction between environmental parameters and coating degradation was adopted, and the calculation formula of the coating aging rate was corrected through regression analysis.

[0076] By correlating the coating aging rate with a preset curve of the decline in the waterproof ability of the coating, we can calculate the remaining waterproof life of the coating on the water meter housing. Each calculation result of the coating aging rate is compared with the decline curve of the waterproof ability to further predict the change in the waterproof ability of the coating over time. Combining the initial waterproof life parameters of the water meter housing, the system can accurately calculate the remaining waterproof life and generate real-time waterproof life data.

[0077] When the system detects a deviation between the waterproof life data and a preset abnormal threshold, it will automatically generate an abnormal warning signal and record the set of environmental parameter data at the time of the abnormality. This warning signal will be sent to the user terminal in real time via communication methods such as Wi-Fi or Bluetooth. The warning signal not only includes the time and location of the abnormality but also key information such as the degree of coating aging and environmental parameters, so that users can take timely measures to ensure the normal operation of the water meter. Some experimental data are as follows:

[0078] Table 1 Set of Coating Environmental Parameter Data

[0079] Time Ultraviolet intensity (W / m²) Temperature (°C) Humidity (%) Hardness change (kgf) Coating aging rate (mm / year) Rate of decline in waterproofing ability (%) Day1 500 30 65 0.12 0.045 1.2 Day2 530 32 60 0.10 0.048 1.3 Day3 550 34 55 0.15 0.055 1.5 Day4 600 36 50 0.20 0.062 1.8 Day5 620 38 45 0.22 0.065 2.0 Day6 640 40 40 0.25 0.070 2.2

[0080] Table 2 Waterproof Life Prediction and Abnormal Detection

[0081] Time Initial waterproof life (hours) Calculated waterproof life (hours) Remaining waterproof life (hours) Warning threshold (hours) Coating aging rate correction factor Rate of decline in waterproofing ability(%) Day1 1000 960 950 500 0.045 1.2 Day2 1000 940 920 500 0.048 1.3 Day3 1000 910 890 500 0.055 1.5 Day4 1000 880 860 500 0.062 1.8 Day5 1000 850 820 500 0.065 2.0 Day6 1000 820 780 500 0.070 2.2

[0082] From the data in Table 1 and Table 2, it can be seen that the collection of the coating environmental parameter data shows obvious regularity. The changes in the ultraviolet intensity and temperature and humidity have a direct impact on the calculation of the coating aging rate. Especially, the ultraviolet intensity has a significant effect on the increase in the aging rate in an environment with high-intensity ultraviolet radiation (such as from Day 4 to Day 6). At the same time, as the temperature increases and the humidity decreases, the corrective effect of the change in the coating hardness on the aging rate also gradually increases, resulting in a gradually rising trend of the coating aging rate and ultimately leading to a decline in the waterproof ability of the coating.

[0083] By comparing with the prior art, traditional methods for predicting the waterproof life of water meters mainly rely on simple time estimation or fixed empirical formulas, often ignoring the dynamic impact of environmental factors on coating aging. In contrast, the present invention performs real-time calculation of the coating aging rate through multi-parameter joint detection, combining factors such as ultraviolet intensity, temperature and humidity, and dynamically corrects the aging rate according to physical properties such as hardness and cracks, ensuring that the prediction result of the waterproof life is more accurate and real-time.

[0084] In addition, by setting the warning threshold in Table 2, it is possible to determine in real time whether there is an abnormal aging of the coating on the water meter, and the abnormal information can be transmitted to the user terminal in a timely manner by generating a warning signal. This dynamic warning system effectively solves the problems of inaccurate waterproof life prediction, lack of real-time monitoring and warning functions in the prior art, and reflects the innovation and advantages of the present invention in coating aging monitoring, life prediction and warning mechanism.

[0085] From these data and analyses, it can be seen that the present invention is superior to the traditional methods of the prior art in terms of improving the accuracy of coating aging rate prediction, optimizing the accuracy of waterproof life prediction, and timely warning of abnormal coating aging. This enables the water meter to operate under more complex and dynamic environmental conditions, and more effectively extends the service life of the water meter, ensuring the safety and reliability of the system.

[0086] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A waterproof warning method for joint detection of multiple parameters of a water meter, characterized in that: including By means of an ultraviolet sensor and a temperature and humidity sensor arranged on the surface of the water meter housing, the coating aging parameters are collected regularly to generate a set of coating environment parameter data; According to the set of coating environment parameter data, combined with the coating material aging model, the coating aging rate is calculated, and the coating aging rate is used to characterize the degradation degree of the coating in the current environment; The coating aging rate is subjected to correlation analysis with a preset coating waterproofing ability decline curve, and combined with the initial waterproof life parameter of the water meter housing, the remaining waterproof life of the housing coating is calculated, and corresponding waterproof life data is generated; According to the waterproof life data, it is determined in real time whether there is an abnormal coating aging. If an abnormality is detected, an abnormal warning signal is generated and the set of environmental parameter data at the time of the abnormality occurrence is recorded; The abnormal warning signal is sent to the user terminal, and at the same time, the set of environmental parameter data at the time of the abnormality occurrence is sent; The process of calculating the coating aging rate by combining the coating material aging model includes: Establish a mathematical model between coating aging and environmental parameters. The calculation of the mathematical model is as follows: Where, is the aging rate of the coating, is the initial aging rate constant of the coating material, is the influence factor of ultraviolet intensity on the aging rate, is the ultraviolet irradiation intensity, is the influence coefficient of temperature on the aging rate, is the environmental temperature, is the influence coefficient of humidity on the aging rate, is the environmental humidity, is the constant of the interaction term of humidity and temperature; Dynamically correct the coating aging rate according to the real-time monitored physical properties of the coating: Suppose the change in the surface hardness of the coating monitored in real time has a correction effect on the aging rate, and the corrected aging rate is: Where, is the corrected coating aging rate, is the influence factor of hardness change on the aging rate, is the coating hardness change amount; Combine multiple environmental parameters for non-linear correction to finally obtain the comprehensive aging rate of the coating. The correction formula is as follows: Where, is the finally corrected coating aging rate, is the correction factor of the th factor on the aging rate, is the th environmental or physical characteristic quantity, is the non-linear exponential coefficient of the th characteristic quantity, is the number of factors affecting the coating aging rate; The correlation analysis includes: According to the relationship between the coating aging rate and the waterproofing ability decline curve, establish the mapping relationship between the aging rate and the waterproofing ability, which is specifically expressed as follows: Wherein, is the waterproofing ability at time the initial waterproofing ability, is the initial waterproofing ability, is the waterproofing ability decline rate coefficient, is the time the coating aging rate at time; The calculation formula for the remaining waterproof life of the housing coating is: The waterproof life is inversely proportional to the waterproof ability, and the formula is as follows: where is the remaining waterproof life, is the initial waterproof life parameter; the calculation process of the waterproof life data is as follows: Through the statistical regression method, according to the mapping relationship between the aging rate and the waterproof ability, the predicted data of the waterproof life is generated, and the formula is as follows: Wherein, is the predicted waterproof life, is the weight of historical data, is the historical time of the remaining waterproof life, is the current cycle or time step in the prediction process or data sequence; the judgment of whether there is abnormal coating aging includes: obtaining the waterproof life data obtained in real time and comparing it with a preset abnormal threshold; the abnormal threshold is obtained based on empirical data or historical measurements, and represents the critical value of the rapid decline of the coating waterproof ability; if the waterproof life data is less than the abnormal threshold, it indicates that the coating aging is abnormal, the waterproof ability has dropped significantly, and it is necessary to enter the alarm state, generate an abnormal warning signal, and prompt the user or relevant personnel to check the waterproof state of the water meter coating in time.

2. The multi-parameter joint detection and waterproof warning method for water meters according to claim 1, characterized in that: The ultraviolet sensor is installed on the outer surface of the water meter housing. By sensing the intensity of external ultraviolet radiation, it outputs an electric signal proportional to the ultraviolet intensity. After analog-to-digital conversion, the electric signal is converted into a digital signal; The temperature and humidity sensor is installed on the side or surface of the water meter to monitor the temperature and humidity data outside the water meter in real time. After analog-to-digital conversion, the temperature and humidity data output by the temperature and humidity sensor is converted into a digital signal.

3. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that: When the processor executes the computer program, it realizes the steps of the water meter multi-parameter joint detection waterproof warning method according to any one of claims 1 to 2.

4. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, it realizes the steps of the water meter multi-parameter joint detection waterproof warning method according to any one of claims 1 to 2.

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