Water meter multi-parameter joint detection waterproof early warning method

Abstract

The invention discloses a water meter multi-parameter joint detection waterproof early warning method, and relates to the technical field of joint detection. Comprising the following steps: regularly collecting coating aging parameters, and generating a coating environment parameter data set; calculating a coating aging rate according to the coating environment parameter data set in combination with a coating material aging model; performing correlation analysis on the coating aging rate and a preset coating waterproof capability decline curve, calculating to obtain the residual waterproof life of the shell coating, and generating corresponding waterproof life data; according to the waterproof life data, whether coating aging abnormity exists or not is judged in real time; and sending the abnormal early warning signal to a user terminal. According to the invention, the aging of the coating can be monitored in real time, and the residual waterproof life of the coating can be accurately calculated in combination with the environmental change, so that the aging abnormity of the water meter coating can be early warned in time, and the accuracy of waterproof life prediction is optimized.

Description

Technical Field

[0001] The invention relates to the technical field of joint detection, and in particular to a water meter multi-parameter joint detection waterproof early warning method. Background Art

[0002] As a basic tool for urban water management and industrial facility monitoring, the stability of water meter performance directly affects the normal operation of the water supply system. Traditional water meters mainly rely on mechanical counting and battery power supply, but with the popularization of smart water meters, smart water meters based on digitalization and sensor technology have become mainstream. These smart water meters are equipped with various sensors for real-time monitoring of water flow, pressure, temperature and other parameters, and have remote data transmission and real-time alarm functions, which improve the efficiency of water resource monitoring. However, with the changes in the external environment and the increase in usage time, the coating of the water meter shell gradually ages and 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 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 of water surface coating aging 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 be monitored in real time. Second, visual inspections cannot accurately quantify the degree of coating aging, which can easily lead to misjudgments or omissions. In addition, some sensor-based aging detection methods usually rely solely on environmental parameters such as temperature and humidity, ignoring the impact of key factors such as ultraviolet radiation intensity on the coating aging rate. Summary of the invention

[0004] In view of the problems existing in the above-mentioned background technology, a water meter multi-parameter joint detection waterproof early warning method of the present invention is proposed.

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

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a water meter multi-parameter joint detection waterproof early warning method, which includes: regularly collecting coating aging parameters through ultraviolet sensors and temperature and humidity sensors arranged on the surface of the water meter shell, and generating a coating environmental parameter data set; calculating the coating aging rate according to the coating environmental parameter data set in combination with a coating material aging model, and the coating aging rate is used to characterize the degree of degradation of the coating under the current environment; correlating the coating aging rate with a preset coating waterproof ability decline curve, and calculating the remaining waterproof life of the shell coating in combination with the initial waterproof life parameters of the water meter shell, and generating corresponding waterproof life data; judging in real time whether there is a coating aging abnormality according to the waterproof life data, if an abnormality is detected, generating an abnormal warning signal and recording the environmental parameter data set when the abnormality occurs; sending the abnormal warning signal to a user terminal, and at the same time sending the environmental parameter data set when the abnormality occurs.

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

[0009] As a preferred solution of the multi-parameter joint detection waterproof early warning method of the water meter of the present invention, the process of calculating the coating aging rate in combination 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]

[0011] Among them, R aging is the aging rate of the coating, t c is the initial aging rate constant of the coating material, c z is the factor affecting the aging rate by the intensity of ultraviolet rays, UV is the intensity of ultraviolet rays, c T is the influence coefficient of temperature on aging rate, t is the ambient temperature, c H is the influence coefficient of humidity on aging rate, h is the ambient humidity, z E is the constant of the interaction term between humidity and temperature; the coating aging rate is dynamically corrected according to the real-time monitored physical properties of the coating: assuming that the real-time monitored coating surface hardness changes have a corrective effect on the aging rate, the corrected aging rate is:

[0012] R aging,c =Raging ×(1+c F ×ΔHard)

[0013] Among them, R aging,c is the corrected coating aging rate, c F is the influencing factor of hardness change on aging rate, ΔHard is the change of coating hardness; nonlinear correction is performed by combining various environmental parameters, and finally the comprehensive aging rate of the coating is obtained. The correction formula is as follows:

[0014]

[0015] Among them, R aging,f is the final corrected coating aging rate, K i is the correction factor of the ith factor on the aging rate, X i is the i-th environmental or physical characteristic, α i is the nonlinear exponential coefficient of the i-th characteristic quantity, and n is the number of factors affecting the coating aging rate.

[0016] As a preferred solution of the multi-parameter joint detection waterproof early warning method of the water meter of the present invention, 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:

[0017] D water (t) = D ini -k×R aging,f (t)

[0018] Among them, D water (t) is the waterproof capability at time t, D ini is the initial waterproof ability, k is the waterproof ability decrease rate coefficient, R aging,f (t) is the coating aging rate at time t.

[0019] As a preferred solution of the multi-parameter joint detection waterproof early warning method of the water meter of the present invention, the remaining waterproof life calculation formula of the shell coating is: Assuming that the waterproof life is inversely proportional to the waterproof ability, the formula is as follows:

[0020]

[0021] Among them, L re For the remaining waterproof life.

[0022] As a preferred solution of the multi-parameter joint detection waterproof early warning method of the water meter of the present invention, the calculation process of the waterproof life data is: through the statistical regression method, according to the mapping relationship between the aging rate and the waterproof ability, the prediction data of the waterproof life is generated, and the formula is as follows:

[0023]

[0024] Among them, L pre is the predicted waterproof life, ω i is the historical data weight, L re,i is the remaining waterproof life at historical moment q, and m is the current cycle or time step in the forecast process or data series.

[0025] As a preferred solution of the multi-parameter joint detection waterproof early warning method of the water meter of the present invention, the judgment of whether there is coating aging abnormality includes: obtaining waterproof life data L in real time pre (t) comparing with a preset abnormal threshold value; the abnormal threshold value is based on empirical data or historical measurements and represents the critical value of the rapid decline in the waterproof ability of the coating; if the waterproof life data L pre If (t) is less than the abnormal threshold, it indicates that the coating is abnormally aged and the waterproof ability is greatly reduced. It is necessary to enter the alarm state and generate an abnormal warning signal to prompt the user or relevant personnel to check the waterproof status of the water surface coating in time.

[0026] In a second aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the water meter multi-parameter joint detection and waterproof warning method as described in the first aspect of the present invention are implemented.

[0027] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, the steps of the water meter multi-parameter joint detection and waterproof warning method as described in the first aspect of the present invention are implemented.

[0028] The beneficial effects of the present invention are as follows: the present invention can not only monitor the aging of the coating in real time, but also accurately calculate the remaining waterproof life of the coating in combination with environmental changes, thereby achieving timely early warning of abnormal aging of the water surface coating and optimizing the accuracy of waterproof life prediction, breaking through the limitation of the prior art that the coating aging process cannot be dynamically and accurately evaluated, thereby improving the reliability and service life of the water meter, which is of great significance for ensuring the long-term stable operation of the water meter. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0030] Figure 1 This is a flow chart of the water meter multi-parameter joint detection waterproof early warning method. DETAILED DESCRIPTION

[0031] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0032] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0033] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0034] Embodiment 1

[0035] Reference Figure 1 , which is the first embodiment of the present invention, and provides a water meter multi-parameter joint detection waterproof warning method, comprising:

[0036] S1: Through the UV sensors and temperature and humidity sensors arranged on the surface of the water meter shell, the coating aging related parameters such as UV radiation intensity, ambient temperature and humidity are collected regularly to generate a coating environmental parameter data set.

[0037] Specifically, the UV sensor should be installed on the outer surface of the water meter housing, facing the direction of sunlight, to ensure that the sensor can capture the intensity of the sun's UV rays, especially UV radiation in an all-weather environment.

[0038] The UV sensor senses the intensity of external UV radiation and outputs an electrical signal proportional to the UV intensity. After analog-to-digital conversion (ADC), the electrical signal is converted into a digital signal for subsequent data processing. The data of UV intensity has a direct impact on the aging rate of the coating, because UV radiation is one of the main factors of coating aging, especially in outdoor environments.

[0039] The temperature and humidity sensor should be installed on the side of the water meter or close to the surface of the water meter body, avoiding excessive exposure to water flow or direct contact with moisture. It should be ensured that the sensor can accurately capture the changes in ambient temperature and humidity outside the water meter.

[0040] The temperature and humidity sensor combines temperature and humidity sensing elements to monitor the temperature and humidity data outside the water meter in real time. Temperature changes directly affect 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 is converted into digital signals for data processing and analysis after analog-to-digital conversion.

[0041] The data set should include the collection time, sensor data (ultraviolet intensity, temperature, humidity) and related status information (such as sensor status, collection quality, etc.).

[0042] Optionally, the working status of the sensor is self-checked regularly to determine whether it is operating normally.

[0043] S2: According to the coating environmental parameter data set and in combination with the coating material aging model, the coating aging rate is calculated, and the aging rate is used to characterize the degree of degradation of the coating under the current environment.

[0044] S2.1: Based on the coating environmental parameter data set in step S1, a mathematical model between coating aging and environmental parameters is established. The specific formula is as follows:

[0045]

[0046] Among them, R aging is the aging rate of the coating, t c is the initial aging rate constant of the coating material, c z is the factor affecting the aging rate by the intensity of ultraviolet rays, UV is the intensity of ultraviolet rays, c T is the influence coefficient of temperature on aging rate, t is the ambient temperature, c H is the influence coefficient of humidity on aging rate, h is the ambient humidity, z E is the constant for the interaction term between humidity and temperature.

[0047] It can be seen that with the support of historical data or experimental data, the contribution relationship of each environmental parameter to the coating degradation rate is established, and an aging rate function that includes the influence of multiple environmental factors such as ultraviolet intensity, temperature and humidity is output. This mathematical model can provide real-time aging rate prediction in a dynamic environment, reflecting the degree of degradation of the coating under current environmental conditions.

[0048] S2.2: The coating aging rate is dynamically corrected based on the real-time monitored physical properties of the coating (such as coating hardness, crack development, etc.). Assuming that the real-time monitored coating surface hardness changes have a corrective effect on the aging rate, the corrected aging rate is:

[0049] R aging,c =R aging ×(1+c F ×ΔHard)

[0050] Among them, R aging,c is the corrected coating aging rate, c F is the influencing factor of hardness change on aging rate, and ΔHard is the change in coating hardness.

[0051] For example, for areas with higher UV radiation intensity, a higher weight is given to the UV intensity, while for areas with higher temperature and humidity, higher weights are given to humidity and temperature. Through this weighted adjustment, the accuracy of the coating aging rate calculation is further improved.

[0052] S2.3: Combine multiple environmental parameters (ultraviolet rays, temperature and humidity, hardness, etc.) for nonlinear correction, and finally obtain the comprehensive aging rate of the coating. The correction formula is as follows:

[0053]

[0054] Among them, R aging,f is the final corrected coating aging rate, K i is the correction factor of the ith factor on the aging rate, X i is the i-th environmental or physical characteristic (such as temperature, humidity, hardness, etc.), α i is the nonlinear exponential coefficient of the i-th characteristic quantity, reflecting the influence of this characteristic quantity on the aging rate, and n is the number of factors affecting the aging rate of the coating.

[0055] Since coating aging is a long process, the impact of environmental parameters in the early stage may be small, but with the passage of time, the impact of the environment on the coating gradually becomes apparent.

[0056] Therefore, by real-time monitoring of changes in the coating aging rate, comparing it with historical data, and combining feedback from other sensors (such as changes in physical properties such as coating surface cracks, adhesion, and hardness), the aging rate model is dynamically corrected. If it is detected that the aging rate deviation is too large, the feedback mechanism is activated and the mathematical model parameters are adjusted. This ensures that the model is always dynamically updated according to the actual environment and the degradation state of the coating material, thereby improving the accuracy and adaptability of the coating aging rate calculation.

[0057] S3: Correlation analysis is performed on the coating aging rate and the preset coating waterproof ability decline curve, and the remaining waterproof life of the shell coating is calculated in combination with the initial waterproof life parameters of the water meter shell, and corresponding waterproof life data is generated.

[0058] Firstly, according to the relationship between the coating aging rate and the waterproof ability decline curve, a mapping relationship between the aging rate and the waterproof ability is established.

[0059] Specifically, by analyzing the relationship between the coating aging rate and the waterproof ability decline curve, the relationship between the two is determined, and the coating aging rate is linked to the speed of waterproof ability decline using nonlinear regression analysis, which is specifically expressed as follows:

[0060] D water (t) = D ini -k×R aging,f (t)

[0061] Among them, D water (t) is the waterproof capability at time t, D ini is the initial waterproof ability, k is the waterproof ability decrease rate coefficient, R aging,f (t) is the coating aging rate at time t.

[0062] The change of the waterproof ability of the coating over time is dynamically predicted according to the aging rate of the coating, which enhances the dynamic correlation between the waterproof ability and the aging rate of the coating and can more accurately reflect the impact of the aging process on the waterproof ability.

[0063] Furthermore, the remaining waterproof life is calculated in combination with the initial waterproof life parameters of the water meter housing.

[0064] According to the known initial waterproof life parameter L ini As well as the dynamic changes in waterproof capability, the remaining waterproof life is calculated in combination with the waterproof capability decline curve.

[0065] Assuming that the waterproof life is inversely proportional to the waterproof ability, the formula is as follows:

[0066]

[0067] Among them, L re It is the remaining waterproof life in hours.

[0068] Furthermore, using historical data and simulation results of the coating aging process, through statistical regression methods, according to the mapping relationship between aging rate and waterproof ability, the prediction data of waterproof life is generated. The formula is as follows:

[0069]

[0070] Among them, L pre is the predicted waterproof life, ω i is the historical data weight, L re,i is the remaining waterproof life at historical moment q, and m is the current cycle or time step in the forecast process or data series.

[0071] S4: Based on the waterproof life data, determine in real time whether there is coating aging abnormality. If an abnormality is detected, generate an abnormal warning signal and record the environmental parameter data set when the abnormality occurs.

[0072] Preferably, the waterproof life data L is obtained in real time pre (t) is compared with a preset abnormal threshold. The abnormal threshold is based on empirical data or historical measurements and is a critical value indicating a rapid decrease in the waterproof ability of the coating. pre If (t) is less than the abnormal threshold, it indicates that the coating is abnormally aged and the waterproof ability is greatly reduced. It is necessary to enter the alarm state and generate an abnormal warning signal to prompt the user or relevant personnel to check the waterproof status of the water surface coating in time; otherwise, it indicates that the coating is aging normally.

[0073] Among them, the early warning signal includes information such as the time, location, and degree of coating aging of the current abnormality.

[0074] Optionally, the recorded environmental parameter data is stored in a database or cloud storage to facilitate subsequent analysis, model optimization, etc. This data can be used to train a prediction model for coating aging or adjust the prediction accuracy of an existing model.

[0075] S5: Send the abnormal warning signal to the user terminal, and at the same time send the environmental parameter data set when the abnormality occurs.

[0076] When step S4 detects coating aging abnormality and generates a warning signal, the abnormal warning signal is promptly sent to the user terminal device (such as a smart phone, computer, cloud platform, etc.) through a communication module (such as Wi-Fi, Bluetooth, ZigBee, etc.). The abnormal warning signal contains the current abnormal type, occurrence time, and related environmental parameter data.

[0077] Among them, environmental parameters include key data such as UV radiation intensity, temperature and humidity.

[0078] This embodiment also provides a computer device, which is suitable for the water meter multi-parameter joint detection and 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 computer-executable instructions to implement the water meter multi-parameter joint detection and waterproof warning method proposed in the above embodiment.

[0079] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the 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 the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0080] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the method for realizing water meter multi-parameter joint detection and waterproof warning proposed in the above embodiment is implemented.

[0081] In summary, the present invention can not only monitor the aging of the coating in real time, but also accurately calculate the remaining waterproof life of the coating in combination with environmental changes, thereby achieving timely early warning of abnormal aging of the water surface coating and optimizing the accuracy of waterproof life prediction. It breaks through the limitation of 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.

[0082] Embodiment 2

[0083] Referring to Table 1 and Table 2, the second embodiment of the present invention provides a water meter multi-parameter joint detection waterproof warning method. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0084] This experiment sets up an experimental environment based on UV sensors, temperature and humidity sensors, and other environmental parameter collection equipment. The main purpose of the experiment is to collect environmental data related to coating aging, calculate the aging rate of the coating, and predict the remaining waterproof life of the water meter shell in combination with the coating waterproof ability decline curve.

[0085] The specific experimental process includes:

[0086] First, in the experiment, a smart water meter with coating protection was selected as the experimental object, and a UV sensor and a temperature and humidity sensor were arranged on the surface of the water meter shell. The UV sensor was installed on the outer surface of the water meter, directly facing the sunlight, to ensure that the UV intensity can be accurately measured; the temperature and humidity sensor was located on the side of the water meter, avoiding direct contact with water flow and moisture areas, to ensure the accuracy of temperature and humidity data.

[0087] Every hour, the UV sensor and temperature and humidity sensor will collect data. The collected data includes UV radiation intensity (unit: W / m 2 ), ambient temperature (unit: °C) and humidity (unit: %). These data form a coating environmental parameter data set, which provides basic data for subsequent coating aging rate calculation.

[0088] According to the mathematical model in step S2, the aging rate of the coating is determined by environmental parameters such as UV irradiation intensity, temperature and humidity. Based on the experimental data, we established a preliminary coating aging rate model and made dynamic corrections by continuously monitoring the physical properties of the coating surface hardness, crack development, etc. For the nonlinear correction of the coating aging rate, the interaction between environmental parameters and coating degradation was used, and the calculation formula of the coating aging rate was corrected through regression analysis.

[0089] By correlating the coating aging rate with the preset coating waterproof capability degradation curve, we can calculate the remaining waterproof life of the water meter shell coating. Each calculation result of the coating aging rate will be compared with the waterproof capability degradation curve to further predict the change of the coating waterproof capability over time. Combined with the initial waterproof life parameters of the water meter shell, the system can accurately calculate the remaining waterproof life and generate real-time waterproof life data.

[0090] When the system detects that the waterproof life data deviates from the preset abnormal threshold, it will automatically generate an abnormal warning signal and record the environmental parameter data set when the abnormality occurs. The 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 contains the time and location of the abnormality, but also includes 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:

[0091] Table 1 Coating environmental parameter data set

[0092]

[0093] Table 2 Waterproof life prediction and anomaly detection

[0094]

[0095] According to the data in Table 1 and Table 2, it can be seen that the collection of coating environmental parameter data shows obvious regularity. Changes in UV intensity and temperature and humidity have a direct impact on the calculation of coating aging rate, especially UV intensity in high-intensity UV radiation environment (such as Day 4 to Day 6) has a significant effect on the aging rate. At the same time, with the increase in temperature and the decrease in humidity, the correction effect of the hardness change of the coating on the aging rate gradually increases, so that the coating aging rate shows a gradual upward trend, which ultimately leads to a decrease in the waterproof ability of the coating.

[0096] By comparing with the existing technology, the traditional water meter waterproof life prediction method mainly relies on simple time estimation or fixed empirical formula, and often ignores the dynamic impact of environmental factors on coating aging. The present invention uses multi-parameter joint detection, combines ultraviolet intensity, temperature and humidity and other factors to calculate the coating aging rate in real time, and dynamically corrects the aging rate according to physical properties such as hardness and cracks, ensuring that the prediction result of waterproof life is more accurate and real-time.

[0097] In addition, by setting the warning threshold in Table 2, it is possible to determine in real time whether the water meter has coating aging abnormalities, and to transmit the abnormal information 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 and 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.

[0098] From these data and analysis, it can be seen that the present invention is superior to the conventional 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 coating aging abnormalities. This enables the water meter to operate under more complex and dynamic environmental conditions, and more effectively prolongs the service life of the water meter, ensuring the safety and reliability of the system.

[0099] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A water meter multi-parameter joint detection waterproof early warning method, characterized by: include, Through the ultraviolet sensor and temperature and humidity sensor arranged on the surface of the water meter shell, the coating aging parameters are collected regularly to generate a coating environmental parameter data set; Calculating the coating aging rate according to the coating environmental parameter data set and in combination with the coating material aging model, wherein the coating aging rate is used to characterize the degree of degradation of the coating under the current environment; The coating aging rate is correlated with a preset coating waterproof ability decline curve, and the remaining waterproof life of the shell coating is calculated in combination with the initial waterproof life parameters of the water meter shell, and the corresponding waterproof life data is generated; Based on the waterproof life data, whether there is coating aging abnormality is determined in real time. If an abnormality is detected, an abnormal warning signal is generated and a set of environmental parameter data when the abnormality occurs is recorded; The abnormal warning signal is sent to the user terminal, and at the same time, a set of environmental parameter data when the abnormality occurs is sent.

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

3. The water meter multi-parameter joint detection waterproof early warning method according to claim 2, characterized in that: The process of calculating the coating aging rate by combining the coating material aging model includes: A mathematical model between coating aging and environmental parameters is established, and the calculation of the mathematical model is: Among them, R aging is the aging rate of the coating, t c is the initial aging rate constant of the coating material, c z is the factor affecting the aging rate by the intensity of ultraviolet rays, UV is the intensity of ultraviolet rays, c T is the influence coefficient of temperature on aging rate, T is the ambient temperature, c H is the influence coefficient of humidity on aging rate, H is the ambient humidity, z E is the constant of the interaction term between humidity and temperature; Dynamically correct the coating aging rate according to the real-time monitored physical properties of the coating: Assuming that the real-time monitored coating surface hardness changes, it has a corrective effect on the aging rate. The corrected aging rate is: R aging，c =R aging ×(1+c F ×ΔHard) Among them, R aging，c is the corrected coating aging rate, c F is the influencing factor of hardness change on aging rate, △Hard is the change of coating hardness; Combining multiple environmental parameters for nonlinear correction, the comprehensive aging rate of the coating is finally obtained. The correction formula is as follows: Among them, R aging，f is the final corrected coating aging rate, K i is the correction factor of the ith factor on the aging rate, X i is the i-th environmental or physical characteristic, α i is the nonlinear exponential coefficient of the i-th characteristic quantity, and n is the number of factors affecting the coating aging rate.

4. The water meter multi-parameter joint detection waterproof early warning method as claimed in claim 3, characterized in that: The association analysis includes: According to the relationship between the coating aging rate and the waterproof ability decline curve, the mapping relationship between the aging rate and the waterproof ability is established, which is specifically expressed as follows: D water (t)=D ini -k×R aging，f (t) Among them, D water (t) is the waterproof capability at time t, D ini is the initial waterproof ability, k is the waterproof ability decrease rate coefficient, R aging，f (t) is the coating aging rate at time t.

5. The water meter multi-parameter joint detection waterproof early warning method as claimed in claim 4, characterized in that: The remaining waterproof life of the shell coating is calculated as follows: Assuming that the waterproof life is inversely proportional to the waterproof ability, the formula is as follows: Among them, L re For the remaining waterproof life.

6. The water meter multi-parameter joint detection waterproof early warning method according to claim 5, characterized in that: The calculation process of the waterproof life data is as follows: Through the statistical regression method, according to the mapping relationship between aging rate and waterproof ability, the prediction data of waterproof life is generated. The formula is as follows: Among them, L pre is the predicted waterproof life, ω i is the historical data weight, L re，i is the remaining waterproof life at historical moment q, and m is the current cycle or time step in the forecast process or data series.

7. The water meter multi-parameter joint detection waterproof early warning method according to claim 6, characterized in that: The determination of whether there is abnormal coating aging includes: Through real-time acquisition of waterproof life data L pre (t) comparing with a preset abnormality threshold; The abnormal threshold is derived based on empirical data or historical measurements and represents a critical value at which the waterproof capability of the coating rapidly decreases; If the waterproof life data L pre If (t) is less than the abnormal threshold, it indicates that the coating is abnormally aged and the waterproof ability is greatly reduced. It is necessary to enter the alarm state and generate an abnormal warning signal to prompt the user or relevant personnel to check the waterproof status of the water surface coating in time.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the water meter multi-parameter joint detection waterproof early warning method according to any one of claims 1 to 7 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the water meter multi-parameter joint detection waterproof early warning method according to any one of claims 1 to 7 are implemented.

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